Python Developer Jobs in Qatar in Qatar 2026

Bayt

Senior Manager, Offensive Cyber Security

On-site - Qatar 31 July 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary The incumbent will have the responsibility to assess the Information Technology applications and infrastructure in the Group for any gaps from IT Security Policies and Standards. The incumbent will be responsible for undertaking vulnerability scanning of IT assets, for participating in the QNB Red Team that conducts simulated offensive attack exercises and for managing the relationships with penetration testing vendors. This highly technical role must have an ethical hacking skillset and background. Main Responsibilities A. Shareholder & Financial: <ul><li>Ability to adhere to divisional Key Performance Indicators (KPI’s) for performance monitoring and quality measurement purposes. </li><li>Implements KPI’s and best practices for Offensive Cyber Security. </li><li>Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. </li><li>Act within the limits of the powers delegated to the incumbent. </li></ul>B. Customer (Internal & External): <ul><li>Ability to perform security assessments of QNB systems. Assessing the effectiveness of the systems, the security architecture design, compliance to IT security policies and relevant standards. </li><li>Ability to develop close relationships with IT and business teams. Understand and manage their requirements for GIS risk services. </li><li>Ability to provide Ad-hoc consultancy for risks of new technologies and propose with potential solutions. </li><li>Ability to identify opportunities and develop new ideas that will lead to improvements. </li><li>Ability to adapt/change behavior or plans to better achieve the target/objective. </li><li>Ability to analyze a complex problem and identify potential solutions by exploring and analyzing diverse alternatives, including, where applicable, risks and potential business impact. Ability to make the right decisions based on the necessary information and to take measures accordingly. </li><li>Ability to liaise with external consultants appointed from time to time to assess the adequacy and effectiveness of the Group’s information security efforts. </li><li>To assist customers in all their queries on Bank’s product and seek solution to their requests. </li><li>Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. </li><li>Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. </li><li>Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. </li></ul>C. Internal (Processes, Products, Regulatory): <ul><li>Ability to set high targets/objectives for self and department. Prefers to take the initiative than to stay passive if events happen. Committed to improving productivity. Unwilling to accept average performance. Tries to be above the requested performance. </li><li>Ability to identify own strengths and limitations. Seeks guidance and advice when appropriate to accomplish tasks and perform the role in an effective and efficient way. </li><li>Ability to play a constructive role as member of the team. </li><li>Ability to assess the effectiveness of the various information security systems and network topologies and evaluate security posture of QNB. </li><li>Ability to provide required support for enforcing the security policies of the organization. </li><li>Ability to build and maintain strong and effective relationship with all other related departments and units to achieve the Group’s goals/ objectives. </li><li>Ability to keep Group Information Security Management apprised of the latest security trends and vulnerabilities. </li></ul>D. Learning & Knowledge: <ul><li>Possess an understanding of business processes and controls in all related operational areas. </li><li>Must have an expert understanding of information security issues, best practices, and a working knowledge of IT systems. </li><li>Proactively identify areas for professional development of self and undertake development activities. </li><li>Seek out opportunities to remain current with all developments in professional field. </li></ul>E. Legal, Regulatory, and Risk Framework Responsibilities: <ul><li>Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). </li><li>Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. </li><li>Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. </li><li>Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. </li><li>Maintain appropriate knowledge to ensure full qualification to undertake the role. </li><li>Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. </li><li>Attend mandatory (internal and external) seminars as instructed by the Bank. </li></ul> Education and Experience Requirements <ul><li>Bachelor’s degree preferably with a Major in Marketing, Banking, Finance, Accounting, Economics, Business </li><li>Administration or Information Technology (related field of study), Masters preferred. </li><li>At least 8 years of experience in undertaking technical security assessments of complex IT solutions including penetration testing, preferably within a highly rated international bank. </li><li>Experience in undertaking red team activities is beneficial </li><li>Professional offensive cybersecurity certifications (SANS, Offensive Security, etc.) </li><li>Professional certification such as CISSP, CISM, CISA is mandatory. </li><li>Previous Banking or Big 4 Consultancy work experience is mandatory </li><li>Excellent oral and written communication skills (including report writing) in English and Arabic. </li><li>Good interpersonal and presentation skills. </li><li>Understanding of the relevant laws, regulations, and practices. </li><li>Ability to make decisions and follow through with initiatives. </li><li>Personal integrity and self-management. </li><li>Planning, organizing, and analytical ability. </li><li>Results oriented. </li><li>Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management. </li><li>Strong knowledge of penetration testing tools and techniques of application and infrastructure components. </li><li>Strong knowledge of network topologies, logical access controls and firewalls technologies. </li><li>Strong knowledge of operating systems (Wintel, Solaris and Linux) </li><li>Having an understanding or experience in identifying zero day exploits </li><li>Having experience in designing and risk assessing multi-forest Active Directory domains </li><li>Programming experience (Python, Golang, Rust, PowerShell, C#, etc)Ability to work under pressure </li></ul> </div>

Full Time 0 to 0 years

IT Business Analyst & QA Analyst

On-site - Qatar - Doha 29 July 2026

Information Technology

Job Title IT Business Analyst & QA Analyst (Banking | Arabic & English Bilingual) We are looking for an experienced IT Business Analyst & QA Analyst to join a leading financial services organization. The ideal candidate will be a bilingual (Arabic & English) IT professional with strong expertise in Business Analysis, Quality Assurance, and Banking applications. The successful candidate will work closely with business stakeholders, development teams, vendors, and project management teams to gather business requirements, prepare functional documentation, manage testing activities, and ensure the successful delivery of high-quality IT solutions. Key Responsibilities Business Analysis Gather, analyze, validate, and document business and system requirements. Translate business requirements into Functional and Non-Functional Specifications. Conduct process mapping, impact analysis, and gap analysis. Prepare documentation including SOW, BRD, FRD, SRS, FRS, User Stories, Functional Specifications, and Requirement Traceability Matrix (RTM). Collaborate with business users, developers, vendors, and project teams throughout the Software Development Life Cycle (SDLC). Quality Assurance & Testing Plan, coordinate, and execute System Integration Testing (SIT) and User Acceptance Testing (UAT). Prepare Test Plans, Test Cases, Test Scenarios, UAT Packs, and Test Evidence. Perform positive, negative, regression, and edge-case testing. Track defects, coordinate defect resolution, validate fixes, and support release readiness. Maintain audit-ready testing documentation and quality records. Documentation & Reporting Prepare release notes, SOPs, user manuals, knowledge base articles, policies, procedures, and technical documentation. Maintain RAID logs, dashboards, progress reports, meeting minutes, and MIS reports. Deliver professional communication and executive-level reporting in both Arabic and English. Governance & Compliance Ensure adherence to SDLC, Change Management, IT Governance, and Documentation Standards. Support Information Security controls and compliance requirements. Coordinate with vendors, monitor SLAs, perform Root Cause Analysis (RCA), and drive continuous improvement initiatives. Escalate project risks and critical issues when required. Required Qualifications Education Bachelor's Degree or higher in Computer Science, Computer Engineering, Information Technology, or an equivalent discipline. Experience Minimum 5 years of relevant IT experience. At least 2–4 years of experience in application development, configuration, implementation, or system support. Banking or Financial Services experience is highly preferred. Technical Skills Business Analysis Quality Assurance (QA) SIT & UATSDLCBRD, FRD, SRS, FRSRTMUser Stories Test Planning & Test Execution Defect Management Release Management Change Management Process Mapping Impact Analysis Root Cause Analysis (RCA) Technical Knowledge Java. NET (C#) C++Python React REST APIs / Web Services HTMLJava Scriptj Query SQL Server Oracle Database Sybase Application Integration Microsoft Office Microsoft Visio Soft Skills Strong analytical and problem-solving skills. Excellent stakeholder management and communication abilities. Ability to work effectively in multicultural teams. Strong planning, coordination, and documentation skills. Ability to perform under pressure and manage multiple priorities. Language Requirement Fluent Arabic (Speaking & Writing) – Mandatory Fluent English (Speaking & Writing) – Mandatory If you meet the above requirements and are interested in a long-term opportunity within the banking sector, we'd love to hear from you.

Full Time 0 to 0 years LinkedIn

Senior Data Analyst

Remote - Qatar - Doha Sunday

Information Technology

???? Welcome to Your Next Adventure! In this position, you will work and collaborate with operations managers, fleet and dispatch teams, data scientists, backend engineers, and business stakeholders in a cross-functional setting. Your core function as an Operations & Logistics Data Analyst is to turn delivery and logistics data into actionable insight that improves how orders move from merchant to customer. You will own the metrics that define operational health, such as delivery time, on-time rate, courier utilization, dispatch efficiency, and cost per delivery, and you will use them to diagnose bottlenecks, forecast demand, balance courier supply against order volume, and recommend changes that make the last mile faster, cheaper, and more reliable. ???? What You’ll Get Your Hands On Collaborate with operations, fleet, dispatch, product, and engineering teams to implement data-driven solutions that improve delivery speed, reliability, and cost. Define, monitor, and report on the core operational KPIs, including delivery time, on-time rate, courier utilization, idle time, dispatch and assignment efficiency, and cost per delivery. Analyze and interpret complex operational data sets using statistical techniques and provide stakeholders with clear, actionable insight. Investigate operational bottlenecks across the order lifecycle (acceptance, preparation, pickup, transit, drop-off) and recommend targeted improvements. Build demand forecasts and support capacity planning so courier supply is matched to order volume across zones and time windows, including peak periods. Analyze geographic and zone-level performance to inform coverage, courier allocation, and last-mile strategy. Design and maintain dashboards and visualizations that give operations teams real-time and historical visibility into performance. Stay up to date with industry trends in logistics analytics, dispatch optimization, and last-mile delivery to keep our capabilities competitive. Identify areas of opportunity, guide teams in designing complex operational features, and mentor junior analysts in a collaborative environment. ????‍♂️ The Magic You Bring A bachelor's or master's degree in a related field, such as data science, statistics, mathematics, industrial engineering, operations research, supply chain, or computer science. At least 5 years of experience in operations, logistics, or supply chain analytics, preferably in a fast-paced delivery, e-commerce, or marketplace environment. Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI. Experience working with geospatial and time-series data (e.g., zones, routes, ETAs, demand by hour and location) and comfort with mapping or spatial analysis. Excellent analytical and problem-solving skills, with the ability to extract insight from large, messy operational data sets. Effective communication skills, with the ability to translate operational data into clear recommendations for non-technical stakeholders such as fleet, dispatch, and city operations teams. Strong attention to detail and accuracy, with the ability to identify and correct errors in data. Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced, real-time operational environment. Strong collaboration skills, with the ability to work effectively within a diverse, cross-functional team. ✨ Bonus Points If You Have Proven experience in food, grocery, or parcel delivery services. Familiarity with dispatch, routing, and batching logic, and with the levers that drive last-mile efficiency. Demonstrated causal analytics skills or a full understanding of causality (e.g., measuring the true impact of an operational change rather than correlation). Experience modeling delivery unit economics at the transaction level (cost per order, courier payout, subsidy, delivery margin) and aggregating it reliably across time, cohorts, zones, and other dimensions. Familiarity with demand forecasting, capacity planning, and supply-demand balancing for a courier fleet. Exposure to optimization or operations research concepts (assignment, routing, queuing) and to data processing pipelines and data engineering basics. Familiarity with machine learning techniques and experience contributing to predictive models such as ETA prediction or demand forecasting. Inside Snoonu’s Universe Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier. The Dream We’re Chasing To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time. The Quest We’re On To radically transform how people live by leveraging technology to connect them with endless possibilities. Our Everyday Superpowers ???? Be Customer Obsessed: “Focus on the customer and all else will follow.” ???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.” ???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.” ????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.” ???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.” ????‍???? It's All About People: “Be a team player; together we are stronger.” Perks & Worklife Magic At Snoonu ???? Global Vibes – Collaborate with a worldwide crew. ???? Brain Boosters – Learning budgets, access to courses, and tools for your growth. ???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy. ????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies. ????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops. Great Place to Work® Certified We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work. Certified for Excellence Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people. Beyond the Code: Giving Back Matters We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission. Diversity Isn’t Just a Buzzword At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here. Let’s Build the Future Together Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together. Stay in the loop—connect with us on Linked In!

Full Time 0 to 0 years LinkedIn

Lead Analyst

On-site - Qatar - Doha 13 August 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years LinkedIn

Senior Analyst

On-site - Qatar - Doha 13 August 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years LinkedIn

Senior Analyst

On-site - Qatar - Al Rayyan 13 August 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Lead Analyst

On-site - Qatar - Doha 22 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Machine Learning Engineer

On-site - Qatar - Doha 20 July 2026

Information Technology

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies. Ideally, You Have Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence. Nice to Haves Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Machine Learning Engineer

On-site - Qatar - Doha 20 July 2026

Information Technology

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies. Ideally, You Have Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence. Nice to Haves Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Lead Analyst

On-site - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Senior Analyst

On-site - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Lead Analyst

On-site - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Lead Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Senior Analyst

On-site - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity: As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

BI Lead

Remote - Qatar - Doha 26 July 2026

Information Technology

???? Welcome to Your Next Adventure! In this position, you will work and collaborate with marketing managers, growth and CRM teams, data scientists, product managers, and business stakeholders in a cross-functional setting. Your core function as a Marketing BI Analyst is to turn marketing and customer data into actionable insight that improves how we acquire, engage, and retain customers. You will own the metrics that define marketing health across the full customer lifecycle, from acquisition (customer acquisition cost, return on ad spend, conversion rate) to retention (repeat rate, churn, customer lifetime value), as well as the performance of our loyalty and subscription programs. You will use these metrics to diagnose funnel leakage, measure campaign impact, optimize budget allocation across channels, evaluate the health and ROI of loyalty and subscription, and recommend changes that make our marketing more efficient, targeted, and profitable. ???? What You’ll Get Your Hands On Collaborate with performance marketing, CRM, brand, product, and engineering teams to implement data-driven solutions that improve acquisition efficiency, engagement, and retention. Define, monitor, and report on the core marketing KPIs, including CAC, ROAS, conversion rate, activation rate, retention, churn, customer lifetime value, and loyalty and subscription program metrics. Analyze and interpret complex marketing and customer data sets using statistical techniques and provide stakeholders with clear, actionable insight. Investigate leakage and drop-off across the customer funnel (awareness, install, registration, first order, repeat, retention) and recommend targeted improvements. Own reporting and analysis for retention and churn, including cohort retention curves, churn drivers, win-back performance, and early-warning signals for at-risk customers. Own the analytics for the loyalty and subscription programs, including enrollment and adoption, engagement and redemption behavior, renewal and cancellation, subscriber vs. non-subscriber economics, and overall program ROI. Measure campaign and promotion performance, support budget allocation across channels, and evaluate incrementality so spend flows to what actually drives growth. Analyze customer segments and cohort-level performance to inform targeting, personalization, and lifecycle strategy. Design and maintain dashboards and visualizations that give marketing teams real-time and historical visibility into performance. Stay up to date with industry trends in marketing analytics, attribution, and growth measurement to keep our capabilities competitive. Identify areas of opportunity, guide teams in designing complex growth initiatives, and mentor junior analysts in a collaborative environment. ????‍♂️ The Magic You Bring A bachelor's or master's degree in a related field, such as data science, statistics, mathematics, economics, marketing analytics, or computer science. At least 5 years of experience in marketing, growth, or customer analytics, preferably in a fast-paced e-commerce, marketplace, or consumer app environment. Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI. Experience working with campaign, funnel, and customer behavioral data (e.g., impressions, clicks, installs, sessions, orders, cohorts) and comfort with attribution and funnel analysis. Experience analyzing retention, churn, and repeat behavior, ideally including loyalty, rewards, or subscription/membership programs (enrollment, engagement, redemption, renewal, and cancellation dynamics). Excellent analytical and problem-solving skills, with the ability to extract insight from large, messy marketing and customer data sets. Effective communication skills, with the ability to translate marketing data into clear recommendations for non-technical stakeholders such as performance marketing, CRM, and brand teams. Strong attention to detail and accuracy, with the ability to identify and correct errors in data. Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced, campaign-driven environment. Strong collaboration skills, with the ability to work effectively within a diverse, cross-functional team. ✨ Bonus Points If You Have Proven experience in food delivery, quick commerce, or consumer super app businesses. Familiarity with digital marketing platforms and their data (Google Ads, Meta, Tik Tok, Apple Search Ads) and with MMPs such as Apps Flyer or Adjust. Demonstrated causal analytics skills or a full understanding of causality (e.g., incrementality testing, geo experiments, and measuring the true impact of a campaign rather than correlation). Experience modeling marketing unit economics at the customer level (CAC, payback period, contribution margin, LTV) and aggregating it reliably across time, cohorts, channels, and other dimensions. Experience measuring the incremental impact and unit economics of loyalty and subscription programs (e.g., points liability, redemption cost, subscriber contribution margin, cannibalization vs. genuine frequency lift). Familiarity with customer segmentation, RFM analysis, churn prediction, and lifecycle marketing measurement. Exposure to marketing mix modeling, multi-touch attribution concepts, and to data processing pipelines and data engineering basics. Familiarity with machine learning techniques and experience contributing to predictive models such as LTV prediction, churn scoring, or propensity modeling. Inside Snoonu’s Universe Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier. The Dream We’re Chasing To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time. The Quest We’re On To radically transform how people live by leveraging technology to connect them with endless possibilities. Our Everyday Superpowers Be Customer Obsessed: “Focus on the customer and all else will follow.” Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.” Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.” Lead by Example and Take Ownership: “Be the change you want to see and take ownership.” Work Smart and Deliver Results: “You can do more by doing less, better, and faster.” It's All About People: “Be a team player; together we are stronger.” Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.” Perks & Worklife Magic At Snoonu ???? Global Vibes – Collaborate with a worldwide crew. ???? Brain Boosters – Learning budgets, access to courses, and tools for your growth. ???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy. ????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies. ????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops. Great Place to Work® Certified We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work. Certified for Excellence Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people. Beyond the Code: Giving Back Matters We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission. Diversity Isn’t Just a Buzzword At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here. Let’s Build the Future Together Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together. Stay in the loop—connect with us on Linked In!

Full Time 0 to 0 years

BI Lead

Remote - Qatar - Doha 26 July 2026

Information Technology

???? Welcome to Your Next Adventure! In this position, you will work and collaborate with marketing managers, growth and CRM teams, data scientists, product managers, and business stakeholders in a cross-functional setting. Your core function as a Marketing BI Analyst is to turn marketing and customer data into actionable insight that improves how we acquire, engage, and retain customers. You will own the metrics that define marketing health across the full customer lifecycle, from acquisition (customer acquisition cost, return on ad spend, conversion rate) to retention (repeat rate, churn, customer lifetime value), as well as the performance of our loyalty and subscription programs. You will use these metrics to diagnose funnel leakage, measure campaign impact, optimize budget allocation across channels, evaluate the health and ROI of loyalty and subscription, and recommend changes that make our marketing more efficient, targeted, and profitable. ???? What You’ll Get Your Hands On Collaborate with performance marketing, CRM, brand, product, and engineering teams to implement data-driven solutions that improve acquisition efficiency, engagement, and retention. Define, monitor, and report on the core marketing KPIs, including CAC, ROAS, conversion rate, activation rate, retention, churn, customer lifetime value, and loyalty and subscription program metrics. Analyze and interpret complex marketing and customer data sets using statistical techniques and provide stakeholders with clear, actionable insight. Investigate leakage and drop-off across the customer funnel (awareness, install, registration, first order, repeat, retention) and recommend targeted improvements. Own reporting and analysis for retention and churn, including cohort retention curves, churn drivers, win-back performance, and early-warning signals for at-risk customers. Own the analytics for the loyalty and subscription programs, including enrollment and adoption, engagement and redemption behavior, renewal and cancellation, subscriber vs. non-subscriber economics, and overall program ROI. Measure campaign and promotion performance, support budget allocation across channels, and evaluate incrementality so spend flows to what actually drives growth. Analyze customer segments and cohort-level performance to inform targeting, personalization, and lifecycle strategy. Design and maintain dashboards and visualizations that give marketing teams real-time and historical visibility into performance. Stay up to date with industry trends in marketing analytics, attribution, and growth measurement to keep our capabilities competitive. Identify areas of opportunity, guide teams in designing complex growth initiatives, and mentor junior analysts in a collaborative environment. ????‍♂️ The Magic You Bring A bachelor's or master's degree in a related field, such as data science, statistics, mathematics, economics, marketing analytics, or computer science. At least 5 years of experience in marketing, growth, or customer analytics, preferably in a fast-paced e-commerce, marketplace, or consumer app environment. Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI. Experience working with campaign, funnel, and customer behavioral data (e.g., impressions, clicks, installs, sessions, orders, cohorts) and comfort with attribution and funnel analysis. Experience analyzing retention, churn, and repeat behavior, ideally including loyalty, rewards, or subscription/membership programs (enrollment, engagement, redemption, renewal, and cancellation dynamics). Excellent analytical and problem-solving skills, with the ability to extract insight from large, messy marketing and customer data sets. Effective communication skills, with the ability to translate marketing data into clear recommendations for non-technical stakeholders such as performance marketing, CRM, and brand teams. Strong attention to detail and accuracy, with the ability to identify and correct errors in data. Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced, campaign-driven environment. Strong collaboration skills, with the ability to work effectively within a diverse, cross-functional team. ✨ Bonus Points If You Have Proven experience in food delivery, quick commerce, or consumer super app businesses. Familiarity with digital marketing platforms and their data (Google Ads, Meta, Tik Tok, Apple Search Ads) and with MMPs such as Apps Flyer or Adjust. Demonstrated causal analytics skills or a full understanding of causality (e.g., incrementality testing, geo experiments, and measuring the true impact of a campaign rather than correlation). Experience modeling marketing unit economics at the customer level (CAC, payback period, contribution margin, LTV) and aggregating it reliably across time, cohorts, channels, and other dimensions. Experience measuring the incremental impact and unit economics of loyalty and subscription programs (e.g., points liability, redemption cost, subscriber contribution margin, cannibalization vs. genuine frequency lift). Familiarity with customer segmentation, RFM analysis, churn prediction, and lifecycle marketing measurement. Exposure to marketing mix modeling, multi-touch attribution concepts, and to data processing pipelines and data engineering basics. Familiarity with machine learning techniques and experience contributing to predictive models such as LTV prediction, churn scoring, or propensity modeling. Inside Snoonu’s Universe Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier. The Dream We’re Chasing To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time. The Quest We’re On To radically transform how people live by leveraging technology to connect them with endless possibilities. Our Everyday Superpowers Be Customer Obsessed: “Focus on the customer and all else will follow.” Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.” Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.” Lead by Example and Take Ownership: “Be the change you want to see and take ownership.” Work Smart and Deliver Results: “You can do more by doing less, better, and faster.” It's All About People: “Be a team player; together we are stronger.” Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.” Perks & Worklife Magic At Snoonu ???? Global Vibes – Collaborate with a worldwide crew. ???? Brain Boosters – Learning budgets, access to courses, and tools for your growth. ???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy. ????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies. ????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops. Great Place to Work® Certified We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work. Certified for Excellence Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people. Beyond the Code: Giving Back Matters We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission. Diversity Isn’t Just a Buzzword At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here. Let’s Build the Future Together Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together. Stay in the loop—connect with us on Linked In!

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 22 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

0 to 0 years Naukri Gulf

Senior Manager

On-site - Qatar - Qatar 8 July 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Whether facing acts of fraud, government investigations or regulatory inquiries, major litigation or transactional disputes, clients turn to EY Forensics for assistance. We bring together forensic accountants, technologists, certified fraud examiners, anti-corruption and anti-money laundering specialists to help clients cut through complexity, respond with confidence and build stronger defences against financial crime. Forensic technology is a key pillar of our forensic services, enabling us to apply advanced analytics, eDiscovery, data privacy and cyber capabilities to help corporations identify, investigate and respond to complex risks, strengthen regulatory compliance and make more informed decisions. Working alongside legal counsel, internal audit and compliance teams, we deliver practical, evidence-led solutions that address urgent issues, strengthen controls and reduce risk. Our cross-industry and global experience enables clients to assess fraud exposure, enhance compliance programmes and take a more proactive approach to integrity, transparency and resilience.The opportunityA position has arisen for a Senior Manager to join the business based in Doha, Qatar supporting MENA wide projects and clients in a growing forensic space and market. There will be a requirement for some regional travel.Your key responsibilitiesAs a Senior Manager you will be a core part of the senior management team within Forensic & Integrity Services MENA. You will focus on the growth of the business within the MENA region. This will involve client and opportunity identification and ensuring these translate into revenue.To this end you will develop and lead relationships with large corporate accounts and establish a strong revenue, build a market leading team capable of providing board level strategic advice and winning large transformation engagements that leverage the wider competencies of EY and raise EY's profile in the forensics area.Specifically, you will need to:<ul><li>Forensic investigations: Lead corruption, fraud, and forensic investigations including multi-jurisdictional matters, applying analytics to accelerate evidence identification and quantify losses.</li><li>Financial analysis : Analyse company accounts, financial data, and large transactional datasets to identify indicators of high risk, red flags, fraud, misstatement, or irregularities.</li><li>Anti-corruption & fraud prevention: Advise on data-driven monitoring analytics in the context of fraud and anti-bribery frameworks, performance and efficiency improvement and cost saving opportunities.</li><li>Policies, processes & controls: Review internal controls, data integrity, and governance; recommend enhancements to strengthen fraud and compliance posture.</li><li>Forensic reporting: Prepare defensible forensic reports with robust evidence review, chain of custody, and analytics documentation suitable for litigation and regulatory use.</li><li>Cyber incident response (working knowledge): Understand the cyber incident response lifecycle and its intersection with fraud and financial crime. Support clients on cyber-enabled fraud incidents using analytics on logs, transactions, and endpoint data to reconstruct events and quantify impact. Collaborate with cyber/DFIR specialists to translate technical findings into business and regulatory impact.</li><li>Business development: Deliver on sales targets, build a forensic data analytics pipeline, and contribute to propositions and thought leadership.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Strong academic record including a degree</li><li>Related professional qualification and / or certification(s)</li><li>The ability to travel nationally and internationally for extended periods and at short notice</li><li>The ability to simultaneously handle diverse and pressing assignments and sensitive and adversarial situations</li><li>A forensic mindset with critical thinking capabilities and high attention to detail</li><li>Arabic speaking, reading and writing capabilities</li><li>Strong proficiency in SQL, Python, and/or R for large-scale data analysis and investigation.</li><li>Hands-on experience with analytics and visualisation tools such as Alteryx, Power BI or Tableau</li><li>Working knowledge of ERP data structures (SAP, Oracle) and financial/transactional datasets.</li><li>Exposure to machine learning, text analytics, and network/link analysis for fraud detection.</li><li>Working understanding of cyber incident response, log analysis, and DFIR fundamentals.</li><li>Proven ability to lead engagements, manage multidisciplinary teams, and mentor junior staff.</li><li>Strong client relationship, stakeholder management, and executive communication skills.</li><li>Track record of business development, proposal writing, and delivering sales targets.</li><li>Ability to translate complex technical findings into clear, actionable insights for non-technical audiences, including regulators, boards, and legal counsel.</li></ul>We are interested in individuals with entrepreneurial skills who have the confidence to develop and promote our services internally and externally and grow a business within a larger organisation. You will be business savvy with a passion for innovation as well as the motivation to create your own EY journey.</section>

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years LinkedIn

Cybersecurity Instructor/Lecturer

On-site - Qatar - Doha 18 August 2026

Aviation & Maritime

Instructors/Lecturers at Qatar Technical Institute (QTI) form the backbone of the training ecosystem and play a critical role in delivering high-quality UK Level 3/4 equivalent vocational, technical and defence training, as well as Ministry of Education and Higher Education (MoEHE)-approved undergraduate programmes, to military students in Qatar. The primary responsibility of the Instructors/Lecturers is to plan, prepare, deliver, assess and continuously improve learning activities that develop the knowledge, skills, behaviours and competencies required by the Qatar Armed Forces and other stakeholders. Instructors/Lecturers are expected to create engaging, learner-centred environments that promote academic achievement, practical competence, professional conduct and operational readiness. Key attributes of Technical Instructors/Lecturers at QTI include: Deliver high-quality theoretical and practical instruction. Prepare lesson plans and other training materials in accordance with approved curricula and awarding body requirements. Assess student performance and provide timely, constructive feedback. Maintain accurate student records in accordance with organisational policies and LMS platforms. Support curriculum development and continuous improvement initiatives. Ensure the safe operation and effective utilisation of laboratories, workshops, training equipment, simulators, and instructional resources. Maintain and enhance professional, technical, instructional, and subject matter expertise through Continuing Professional Development (CPD) activities. Participate in mandatory training, workshops, standardisation activities, and professional and industry engagement opportunities. Instructors/Lecturers are expected to demonstrate proficiency in the use of modern educational technologies, digital learning platforms, audio-visual systems, interactive training aids, and specialist laboratory or workshop equipment relevant to their discipline. They must be capable of integrating technology-enhanced learning approaches to improve student engagement and learning outcomes. The role requires strong technical expertise, effective communication skills, professional integrity and a commitment to maintaining high standards of teaching excellence, learner achievement and military/defence professionalism. Core Responsibilities: 1. Training Delivery and Technical Instruction: Plan, prepare and deliver high-quality theoretical, practical, laboratory, workshop and simulation-based training in accordance with approved curricula, schemes of work and learning outcomes. Deliver engaging and effective instruction using a range of teaching methodologies, including demonstrations, practical exercises, projects, discussions, problem-based learning and technology-enhanced learning. Demonstrate and supervise the safe and effective use of specialist equipment, tools, laboratories, workshops, simulators and training systems. Differentiate instruction to meet diverse learner needs and support progression towards vocational, technical, defence and higher education programmes. Utilise modern instructional technologies, digital learning platforms, and audio-visual training aids to enhance learner engagement and achievement. 2. Learner Development, Assessment and Quality Assurance: Monitor learner progress and provide timely coaching, mentoring and constructive feedback to support achievement and professional development. Conduct formative, summative, practical and competency-based assessments in accordance with approved assessment strategies and quality standards. Maintain accurate learner records, attendance data, assessment documentation and progress reports within required timescales. Contribute to internal quality assurance activities and the continuous improvement of training delivery, assessment practices, and learner outcomes. 3. Courseware Development and Continuous Improvement: Support the development, review, maintenance and enhancement of courseware, instructional materials, assessments and learning resources. Ensure instructional content remains technically accurate, current and aligned with organisational, military, awarding body and MoEHE requirements. Identify and implement opportunities to improve training effectiveness, learner engagement, and programme performance. 4. Health, Safety and Professional Compliance: Demonstrate exemplary Health, Safety, Environmental and Security (SHE) behaviours and ensure compliance with all relevant policies, procedures and safe systems of work. Promote a safe, disciplined and professional learning environment within classrooms, laboratories, workshops and training facilities. Operate within established organisational communication, reporting, and escalation processes. 5. Military/Defence Engagement and Professional Conduct: Maintain positive and professional relationships with military personnel, learners, and stakeholders. Operate effectively within a military training environment while adhering to military protocols, standards and expectations. Provide instructional support and training cover as required to ensure continuity of programme delivery. Requirements Qualification/Trade Knowledge: Essential: Recognised qualification at UK Level 4 or above in the relevant engineering, technical, vocational or professional discipline, or equivalent industry experience. A minimum of 5 years’ demonstrable industrial/defence experience and technical competence within the relevant subject area. A minimum of 2 years’ experience delivering technical, vocational, engineering, defence or professional training in a structured learning environment. Competent in the use of Microsoft Office applications and digital technologies to support training delivery and administration. Desirable: Teaching, training, assessing or instructional qualification, or equivalent. Experience within a military, defence, aerospace, engineering or other highly regulated environment. Experience in curriculum development, courseware design, or assessment development. Knowledge of vocational education, competency-based training and quality assurance processes. Experience using Learning Management Systems (LMS), simulation technologies and digital learning platforms. Experience in teaching/training in a multicultural environment. European Aviation Safety Agency (EASA)/Defence Systems Approach to Training (DSAT) knowledge and compliance. Licence, defence certifications, relevant professional institution membership or professional registration. Evidence of ongoing Continuing Professional Development (CPD). Subject Area Coverage: Primary: Knowledge, skills, qualifications and/or experience in delivering undergraduate-level Cybersecurity and related subjects. This may include, but is not limited to, Java, Python, object-oriented programming, data structures, algorithms, debugging, testing, computer architecture, assembly language, operating systems, network fundamentals, network configuration, cybersecurity principles, applied cryptography, secure communication, database design, AI concepts, machine learning basics, data modelling, analytics, visualisation techniques, forensic principles, evidence acquisition, preservation, reporting, SIEM tools (Splunk, Sentinel, QRadar), cloud, mobile, IoT, encryption challenges, cybersecurity analytics, mathematical reasoning applied to computing (storage, bandwidth, data representation), and Cybersecurity Project Work. Candidates should also be capable of delivering practical laboratory and workshop-based instruction. Secondary: In addition to the primary teaching specialism, Instructors/Lecturers are required to support the delivery, development, assessment, verification and administration of other subject areas, programmes or training activities within the organisation, as directed by the Customer, Line Manager, Head of Department or Head of the Organisation. Such responsibilities will be allocated based on the Instructors’/Lecturers’ qualifications, professional experience, industry background, demonstrated competence and previous teaching or training experience. Where appropriate, Instructors/Lecturers may be provided with internal training, mentoring, professional development, or familiarisation activities to enable them to undertake additional teaching and training responsibilities effectively. Skills: • Comply with the latest issue of the BAE SYSTEMS Part 145 Maintenance Organisation Exposition (MOE) and general awareness of the defence logistics framework and associated procedures in relation to the movement of all logistics items • Receive all items, checking that all required documentation is present and correct and that the packaging is intact. Check that part numbers on documentation matches that marked on the part or parts packaging • Quarantine any non-conforming items for appropriate investigation action. • Record receipts using the electronic stock accounting systems and procedures currently in operation • Place stores and parts demands as required on IMS • Maintain the preservation of materials and equipment whilst in storage or transit • Ensure the storage, handling and movement of hazardous materials is carried out as defined within hazard data sheets and mandated procedures • Pick, pack and deliver parts requests to the customer, checking the right parts are delivered to the right place at the right time safely, including line side replenishment • Coordination of any Tasking requests that require forklift/vehicle support, providing that support and liaising with the requestor to ensure any access or support issues are addressed prior to the activity • Coordination of Forward Delivery activities, ensuring the QEAF members of staff know where to deliver to and where to collect from • Protect any materials for dispatch against transit damage • Identify and report inabilities of supply items to all relevant teams • Be able to coordinate and assist in the preparation of detachment pack ups • Assist in programmed/adhoc Stock Taking activities • Performing and understanding investigation activities on IMS to assist in and resolve any stock discrepancies • Deliver a Direct Line Feed (DLF) service to Depth and Forward, supplying and replenishing all consumable requirements, including POL. • Ensure the DLF Forward and Depth visit schedule is adhered to, preventing any consumable racks or POL in-use lockers from reaching nil stock • Maintain the physical storage, issue and receipt into and out of stock of all POL items • Conduct Warehouse husbandry and building oversite checks • Carry out shift work as required in rotation • Mentoring QEAF Team members of the Team in effective and safe Supply Chain Operations, including monitoring of IMS inputs by the QEAF

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