Data Entry Jobs in Qatar

About Agoda<br><br>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.<br><br>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.<br><br>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.<br><br>Get to Know Our Team<br><br>The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. 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 Data team plays at Agoda is critical as business users, product managers, engineers, 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 Data department, but also the reward.<br><br>The Opportunity<br><br>Please note -The role will be based in Bangkok. <br><br>We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.<br><br>As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.<br><br>In This Role, You’ll Get to<br><br>Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. Work with developers and a variety of business owners to deliver daily results with the best quality. Research discover and harness new ideas that can make a difference<br><br>What You’ll Need To Succeed<br><br>4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as well as play a key role in a team. Good communication and interpersonal skills for working in a multicultural work environment.<br><br>It’s Great if You Have<br><br>PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields Experience in NLP, image processing and/or recommendation systems Hands on experience in data engineering, working with big data framework like Spark/Hadoop Experience in data science for e-commerce and/or OTA<br><br>We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.<br><br>#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 #mumbai #bengalulu #hyderabad #pune # #IT #4<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>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<br><br>Equal Opportunity Employer <br><br>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.<br><br>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.<br><br>Disclaimer<br><br>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.

Job Description<br><br>To lead the project planning and delivery of Data Analytics based solutions and client engagements. To work with project owners and stakeholders to understand their needs and expectations as well as with the team to scope and manage projects, mitigate risk, apply governance best practices, manage key stakeholders, execute communication plans, and ensure the successful delivery of projects with a focus on offering excellence in customer experience.<br><br>Deliver data projects and products on time, within budget, while meeting client’s expectations. Plan, assign, manage and coordinate activities pertaining to data technology multi-year projects, on an enterprise level with multiple releases and work streams. Verify project goals are accomplished and in line with business objectives.<br><br>Responsibilities<br><br>Create, maintain, own and accountable for WBS, project plan, issue and risk logs, other PM tools. Manage project delivery team consisting of multiple vendors and internal resources, ensuring alignment on development timelines and handoffs between teams. Actively manage delivery process between requirements gathering, data ingestion, data modeling, pipeline development and data visualization via multiple delivery vendors and teams. Organizes and facilitates cross functional teams (product owners, IT data engineering, IT security, business data analytics, QA and data science) for projects. Own and manage the Data Engineering and Visualization product backlog ensuring backlog is up to date, tickets include fulsome descriptions and tickets are linked where necessary. Prepare and present project level reporting to project stakeholders and executives via bi-weekly Project Review meeting. Provide quality review of client deliverables, secure client delivery acceptance. Work with the client and the team to identify solutions to challenges and roadblocks that come up Lead lessons learned reviews to evaluate project success and recommend process improvements. Establish effective project communication plans and ensure their successful execution. Managing customer satisfaction, conducting post-project evaluation and providing feedback to PMO for continuous improvements. Facilitate Agile ceremonies including Sprint Planning, Reviews, Retrospectives, and leading Standups Administrator and co-administer various Jira boards (Enterprise Engineering, Prototyping etc) Be the first point of escalation for project risks. Manage the process of escalating risks and communicating to the appropriate parties in a timely manner. Support in various activities as deemed necessary including but not limited to data analysis, business analysis, documentation, test plan development, and conduct UAT.<br><br>Qualifications<br><br> QUALIFICATIONS <br><br>Bachelor's degree in business administration, computer Science, business analytics, or a related field. Excellent customer facing skills with strong verbal, written, and listening communication skills. Proven experience in conflict resolution, organizational change management, facilitation and presentation development. <br><br>Must Have<br><br>Certified Project Management Professional (PMP) and/or Scrum Master certification is required. At least 8 years’ experience delivering data governance, data management, analytics & BI projects, minimum 4 years should be in project management role. Arabic & English speaker<br><br>About Malomatia<br><br> ABOUT US <br><br>malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.<br><br>Our mission<br><br>Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.<br><br>Our vision<br><br>To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.<br><br>Driving change that makes a real impact<br><br>Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.<br><br>About The Team<br><br>Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.<br><br>Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.<br><br>Join us in shaping the future of technology in Qatar

Job Description<br><br>To lead the project planning and delivery of Data Analytics based solutions and client engagements. To work with project owners and stakeholders to understand their needs and expectations as well as with the team to scope and manage projects, mitigate risk, apply governance best practices, manage key stakeholders, execute communication plans, and ensure the successful delivery of projects with a focus on offering excellence in customer experience.<br><br>Deliver data projects and products on time, within budget, while meeting client’s expectations. Plan, assign, manage and coordinate activities pertaining to data technology multi-year projects, on an enterprise level with multiple releases and work streams. Verify project goals are accomplished and in line with business objectives.<br><br>Responsibilities<br><br>Create, maintain, own and accountable for WBS, project plan, issue and risk logs, other PM tools. Manage project delivery team consisting of multiple vendors and internal resources, ensuring alignment on development timelines and handoffs between teams. Actively manage delivery process between requirements gathering, data ingestion, data modeling, pipeline development and data visualization via multiple delivery vendors and teams. Organizes and facilitates cross functional teams (product owners, IT data engineering, IT security, business data analytics, QA and data science) for projects. Own and manage the Data Engineering and Visualization product backlog ensuring backlog is up to date, tickets include fulsome descriptions and tickets are linked where necessary. Prepare and present project level reporting to project stakeholders and executives via bi-weekly Project Review meeting. Provide quality review of client deliverables, secure client delivery acceptance. Work with the client and the team to identify solutions to challenges and roadblocks that come up Lead lessons learned reviews to evaluate project success and recommend process improvements. Establish effective project communication plans and ensure their successful execution. Managing customer satisfaction, conducting post-project evaluation and providing feedback to PMO for continuous improvements. Facilitate Agile ceremonies including Sprint Planning, Reviews, Retrospectives, and leading Standups Administrator and co-administer various Jira boards (Enterprise Engineering, Prototyping etc) Be the first point of escalation for project risks. Manage the process of escalating risks and communicating to the appropriate parties in a timely manner. Support in various activities as deemed necessary including but not limited to data analysis, business analysis, documentation, test plan development, and conduct UAT.<br><br>Qualifications<br><br> QUALIFICATIONS <br><br>Bachelor's degree in business administration, computer Science, business analytics, or a related field. Excellent customer facing skills with strong verbal, written, and listening communication skills. Proven experience in conflict resolution, organizational change management, facilitation and presentation development. <br><br>Must Have<br><br>Certified Project Management Professional (PMP) and/or Scrum Master certification is required. At least 8 years’ experience delivering data governance, data management, analytics & BI projects, minimum 4 years should be in project management role. Arabic & English speaker<br><br>About Malomatia<br><br> ABOUT US <br><br>malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.<br><br>Our mission<br><br>Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.<br><br>Our vision<br><br>To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.<br><br>Driving change that makes a real impact<br><br>Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.<br><br>About The Team<br><br>Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.<br><br>Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.<br><br>Join us in shaping the future of technology in Qatar

???? Welcome to Your Next Adventure!<br><br>In this position, you will be the dedicated analytical bridge between our central BI & Engineering teams and our Finance business units. As a Junior Data Analyst, your core function is to ensure that our massive transactional and operational Super App data perfectly aligns with our financial metrics. You will interpret complex datasets, automate financial reports, and provide actionable insights to ensure Snoonu's growth is backed by bulletproof financial clarity.<br><br>???? What You’ll Get Your Hands On<br><br>Financial Reporting & Automation: Help to maintain, update, and automate weekly and monthly data extracts and financial KPI dashboards (e.g., GMV tracking, revenue burn rates, and unit economics per vertical). Data Integrity & Reconciliation: Partner closely with Finance to reconcile operational transactional data from the Super App warehouse with accounting and billing systems. Ensure that the data "ties out" —accuracy is paramount. Modeling Support: Support the Finance team by querying, structuring, and cleaning historical data sets required for budgeting, forecasting, and long-range planning models. Dashboard Development: Build, optimize, and maintain clear, user-friendly data visualizations in BI tools (Tableau/Power BI) for corporate finance stakeholders and leadership. Ad-Hoc Business Analysis: Respond to requests from finance leadership to investigate specific trends or anomalies (e.g., delivery cost fluctuations, merchant payout discrepancies, or marketing promo ROI). Cross-Functional Collaboration: Work within a collaborative environment involving data scientists, backend engineers, and product managers to ensure our underlying data pipelines capture the correct financial attributes.<br><br>????‍♂️ The Magic You Bring<br><br>Education: A bachelor's degree in a quantitative or financial field, such as Data Analytics, Finance, Economics, Statistics, or Information Systems. Technical Stack: Strong foundational proficiency in SQL (writing queries, joins, and data aggregation) and advanced Excel / Google Sheets (Pivot Tables, XLOOKUP, data structuring). Data Visualization: Hands-on experience or academic project exposure building dashboards in Tableau, Power BI, or Looker. Attention to Detail: Meticulous attention to detail and accuracy—an innate drive to identify errors or discrepancies in financial numbers before they reach leadership. Communication: Effective communication skills, with the unique ability to translate complex database tables into clear, actionable business insights for financial stakeholders. Adaptability: Demonstrated ability to learn quickly, prioritize tasks, and meet critical deadlines in Snoonu’s fast-paced, rapidly scaling environment. Teamwork: Excellent collaboration skills, with a positive mindset aligned with our value: "It's all about people."<br><br>✨ Bonus Points If You Have<br><br>Financial Literacy: A foundational understanding of basic corporate finance concepts (e.g., Income Statements/P&L, margins, accounting basics). Python/R: Familiarity with Python or R for basic data manipulation and scripting (e.g., Pandas). Industry Experience: Prior internship or academic exposure related to e-commerce, food delivery, logistics, or parcel delivery services.<br><br>Inside Snoonu’s Universe<br><br>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.<br><br>The Dream We’re Chasing<br><br>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.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>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.<br><br>Certified for Excellence<br><br>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.<br><br>Beyond the Code: Giving Back Matters<br><br>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.<br><br>Diversity Isn’t Just a Buzzword<br><br>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.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>In this position, you will be the dedicated analytical bridge between our central BI & Engineering teams and our Finance business units. As a Junior Data Analyst, your core function is to ensure that our massive transactional and operational Super App data perfectly aligns with our financial metrics. You will interpret complex datasets, automate financial reports, and provide actionable insights to ensure Snoonu's growth is backed by bulletproof financial clarity.<br><br>???? What You’ll Get Your Hands On<br><br>Financial Reporting & Automation: Help to maintain, update, and automate weekly and monthly data extracts and financial KPI dashboards (e.g., GMV tracking, revenue burn rates, and unit economics per vertical). Data Integrity & Reconciliation: Partner closely with Finance to reconcile operational transactional data from the Super App warehouse with accounting and billing systems. Ensure that the data "ties out" —accuracy is paramount. Modeling Support: Support the Finance team by querying, structuring, and cleaning historical data sets required for budgeting, forecasting, and long-range planning models. Dashboard Development: Build, optimize, and maintain clear, user-friendly data visualizations in BI tools (Tableau/Power BI) for corporate finance stakeholders and leadership. Ad-Hoc Business Analysis: Respond to requests from finance leadership to investigate specific trends or anomalies (e.g., delivery cost fluctuations, merchant payout discrepancies, or marketing promo ROI). Cross-Functional Collaboration: Work within a collaborative environment involving data scientists, backend engineers, and product managers to ensure our underlying data pipelines capture the correct financial attributes.<br><br>????‍♂️ The Magic You Bring<br><br>Education: A bachelor's degree in a quantitative or financial field, such as Data Analytics, Finance, Economics, Statistics, or Information Systems. Technical Stack: Strong foundational proficiency in SQL (writing queries, joins, and data aggregation) and advanced Excel / Google Sheets (Pivot Tables, XLOOKUP, data structuring). Data Visualization: Hands-on experience or academic project exposure building dashboards in Tableau, Power BI, or Looker. Attention to Detail: Meticulous attention to detail and accuracy—an innate drive to identify errors or discrepancies in financial numbers before they reach leadership. Communication: Effective communication skills, with the unique ability to translate complex database tables into clear, actionable business insights for financial stakeholders. Adaptability: Demonstrated ability to learn quickly, prioritize tasks, and meet critical deadlines in Snoonu’s fast-paced, rapidly scaling environment. Teamwork: Excellent collaboration skills, with a positive mindset aligned with our value: "It's all about people."<br><br>✨ Bonus Points If You Have<br><br>Financial Literacy: A foundational understanding of basic corporate finance concepts (e.g., Income Statements/P&L, margins, accounting basics). Python/R: Familiarity with Python or R for basic data manipulation and scripting (e.g., Pandas). Industry Experience: Prior internship or academic exposure related to e-commerce, food delivery, logistics, or parcel delivery services.<br><br>Inside Snoonu’s Universe<br><br>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.<br><br>The Dream We’re Chasing<br><br>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.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>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.<br><br>Certified for Excellence<br><br>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.<br><br>Beyond the Code: Giving Back Matters<br><br>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.<br><br>Diversity Isn’t Just a Buzzword<br><br>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.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

We are looking for people who regularly use Ubuntu/Linux. No prior AI experience is required. If you are comfortable working in Ubuntu, installing applications, following instructions, and completing technical tasks independently, we would like to hear from you.<br><br>As an AI Data Trainer with Linux/Ubuntu, you will work remotely on an hourly paid basis to support AI data training projects through structured, detail-oriented tasks. You will install applications and record your actions while completing tasks with patience, concentration, and strong attention to detail.<br><br>This role requires you to have your own computer running Ubuntu/Linux and to be comfortable installing the applications and tools needed for the project. While advanced AI experience is not required, you should be tech-savvy, reliable, careful with instructions, and able to work independently.<br><br>This role is a good fit for students, junior candidates, Linux enthusiasts, and other tech-savvy individuals who are patient, focused, detail-oriented, and comfortable working with Ubuntu/Linux.<br><br>This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of Super Annotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your work will directly contribute to improving AI systems used across products and industries.<br><br>Key Responsibilities<br><br> Follow detailed written guidelines and apply them carefully Install and use required applications on an Ubuntu/Linux computer Check work for mistakes before submission Identify inconsistencies, unclear instructions, or technical issues when they arise Maintain focus during repetitive or detail-heavy tasks Complete assigned work within agreed weekly availability Communicate clearly with the project team when support is needed Contribute to improving the quality of AI model training data<br><br>Your Profile<br><br> Have access to a personal computer running Ubuntu/Linux Be comfortable installing required apps, tools, and project software Be tech-savvy and able to follow setup instructions independently Be available for approximately 15 hours per week Be patient, concentrated, and detail-oriented Be able to follow written instructions carefully and consistently Be comfortable completing structured and sometimes repetitive tasks Have basic computer literacy and confidence using browser-based tools Be reliable, responsive, and able to meet task deadlines Student candidates and junior applicants are welcome Previous experience in AI data training, data annotation, QA, software testing, or research tasks is helpful but not required.<br><br>Skills: Remote Work, Ubuntu, Linux, Part-Time, Data Annotation, App Installation, Attention to Detail, AI Data Training, Student Job, AI Model Evaluation

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

About Us:<br>Qatar Insurance Company Q. S. P. C (QIC, QIC Group) is a publicly listed insurer with a consistent performance history of over 59 years and a global underwriting footprint. Founded in 1964, QIC was the first domestic insurance company in the State of Qatar. Today, QIC is the market leader in Qatar and a dominant insurer in the GCC and MENA regions. QIC is one of the largest insurance companies in the MENA region in terms of written premium and total assets and is listed on the Qatar Stock Exchange and has a market capitalization in excess of QAR 7 billion. QIC is also the first digital insurance company in Qatar and was crowned as the best online insurance company in the Middle East at the Global Banking & Finance Review Awards 2022.<br><br>Position Overview:<br>We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.<br>Develop and deploy data-driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.<br>Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrappingtechnologies to extract, analyze, and model unstructured data.<br>Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalableand efficient data pipelines and environments.<br>Leverage analytics: Mathematics and Statistics, modelling and modern machine learningtechniques, Optimization.<br>Understand complex databases and perform data management, cleaning, transformation andvisualization.<br>Build intuitive user interfaces using tools such as Shiny or Dash, enabling non-technical users toeasily interact with predictive models and analytics dashboards.<br>Create and maintain predictive analytics models, dashboards, automation program and other datadriven tools for technical teams and business stakeholders.<br>Stay up to date with the latest developments in data science, cloud computing, and AI tocontinuously improve data products.<br>Knowledge of actuarial concepts is a plus.<br>Qualifications and Experience:<br>• Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.<br>• Minimum 3-5 years of relevant experience (experience level depending on the profile)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Nair Systems is currently looking Data Integration Specialist our Qatar operations.</p><p>Should have ETL experience</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Banking Domain experience is mandatory</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Description</b></p><p>We are currently looking Data Scientist our Qatar operations.</p><p><br></p><p>Skills:</p><p><br></p><p>Build AI use cases, connect models to business workflows, design AI architecture</p><p><br></p><p>Joining time frame: 2 weeks (maximum 1 month)</p></div></section>

Whether facing acts of fraud, government investigations or regulatory inquiries, major litigation or transactional disputes, clients turn to EY Forensics for assistance.<br><br>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.<br><br>Forensic technology is a key pillar of our forensic services, enabling us to apply advanced analytics, e Discovery, data privacy and cyber capabilities to help corporations identify, investigate and respond to complex risks, strengthen regulatory compliance and make more informed decisions.<br><br>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.<br><br>The opportunity<br><br>A 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.<br><br>Your Key Responsibilities<br><br>As 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.<br><br>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.<br><br>Specifically, you will need to:<br><br>Forensic investigations: Lead corruption, fraud, and forensic investigations including multi-jurisdictional matters, applying analytics to accelerate evidence identification and quantify losses. Financial analysis: Analyse company accounts, financial data, and large transactional datasets to identify indicators of high risk, red flags, fraud, misstatement, or irregularities. 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. Policies, processes & controls: Review internal controls, data integrity, and governance; recommend enhancements to strengthen fraud and compliance posture. Forensic reporting: Prepare defensible forensic reports with robust evidence review, chain of custody, and analytics documentation suitable for litigation and regulatory use. 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. Business development: Deliver on sales targets, build a forensic data analytics pipeline, and contribute to propositions and thought leadership.<br><br>To qualify for the role, you must have<br><br>Strong academic record including a degree Related professional qualification and / or certification(s) The ability to travel nationally and internationally for extended periods and at short notice The ability to simultaneously handle diverse and pressing assignments and sensitive and adversarial situations A forensic mindset with critical thinking capabilities and high attention to detail<br><br>Ideally, you’ll also have<br><br>Arabic speaking, reading and writing capabilities Strong proficiency in SQL, Python, and/or R for large-scale data analysis and investigation. Hands-on experience with analytics and visualisation tools such as Alteryx, Power BI or Tableau Working knowledge of ERP data structures (SAP, Oracle) and financial/transactional datasets. Exposure to machine learning, text analytics, and network/link analysis for fraud detection. Working understanding of cyber incident response, log analysis, and DFIR fundamentals. Proven ability to lead engagements, manage multidisciplinary teams, and mentor junior staff. Strong client relationship, stakeholder management, and executive communication skills. Track record of business development, proposal writing, and delivering sales targets. Ability to translate complex technical findings into clear, actionable insights for non-technical audiences, including regulators, boards, and legal counsel.<br><br>What We Look For<br><br>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.<br><br>What we offer<br><br>We offer a competitive compensation package where you’ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:<br><br>Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.<br><br>If you can demonstrate that you meet the criteria above, please contact us as soon as possible. <br><br>The Exceptional EY Experience. It’s Yours To Build.<br><br>EY | Building a better working world <br><br>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.<br><br>Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.<br><br>Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Overview<br><br>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.<br><br>Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, One Drive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.<br><br>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.<br><br>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br>Responsibilities<br><br>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption. Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs). Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance. Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists. Assists and provides guidance to other technicians to complete challenging or complex tasks. Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities. Embodies our culture and values.<br><br>Qualifications<br><br>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.<br><br>Background Check Requirements<br><br>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:<br><br>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<br><br>While not required, we also look for the following Preferred Qualifications:<br><br>Experience supporting IT equipment or related technology. Applicable certifications: Comp TIA (A+, Server+, Network+), Basic Structure Cabling (BSC).<br><br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview<br><br>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.<br><br>Microsoft’s Cloud Operations & Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, One Drive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity & Inclusion training and events, and professional certifications.<br><br>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.<br><br>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.<br><br>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<br><br>Responsibilities<br><br>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption. Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs). Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance. Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists. Assists and provides guidance to other technicians to complete challenging or complex tasks. Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities. Embodies our culture and values.<br><br>Qualifications<br><br>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.<br><br>Background Check Requirements<br><br>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:<br><br>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.<br><br>While not required, we also look for the following Preferred Qualifications:<br><br>Experience supporting IT equipment or related technology. Applicable certifications: Comp TIA (A+, Server+, Network+), Basic Structure Cabling (BSC).<br><br>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.<br><br>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>Responsible for developing advanced machine learning models for banking use cases including pricing optimization, customer propensity modelling, and recommendation systems. This senior role requires deep expertise in statistical modelling and machine learning combined with substantial banking and financial services domain knowledge . The position focuses on translating complex business problems in areas such as Risk, Finance, Retail Banking, and Wholesale Banking into actionable ML solutions. Will leverage their understanding of banking products, regulatory requirements, and financial metrics to build models that drive measurable business value. The role requires a balance of domain expertise and technical capability, with sufficient programming skills in Python and SQL to develop and deliver working prototypes that can be transitioned to production.<br><br>Key Accountabilities<br><br>ML Model Development Design and develop machine learning models for pricing optimization, including dynamic pricing, rate optimization, and fee structures. Build propensity models for customer behavior prediction including churn, cross-sell, upsell, and product adoption. Develop recommendation systems for personalized product offerings, next-best-action, and customer engagement. Banking Domain Application Apply deep banking domain knowledge to frame business problems as ML solutions with measurable outcomes. Partner with Risk, Finance, and business units to identify high-value modeling opportunities. Ensure models incorporate relevant regulatory requirements, risk considerations, and business constraints. Analysis & Insights Conduct exploratory data analysis to identify patterns, relationships, and modeling opportunities in banking data. Translate model outputs into actionable business recommendations and insights. Develop model performance metrics aligned with business KPIs and financial outcomes. Create data visualizations and reports for stakeholder communication. Prototyping & Delivery Develop working prototypes in Python demonstrating model functionality and business value. Create clear documentation of model methodology, assumptions, limitations, and use cases. Collaborate with ML Engineers and AI Engineers to transition prototypes to production systems. Stakeholder Collaboration Partner with business stakeholders to understand requirements and validate model outputs. Present model results, methodology, and recommendations to senior management. Contribute to model governance, validation, and documentation requirements. Ensure compliance with data policies, ethical standards, and regulatory requirements.<br><br>Key Competencies<br><br>Machine Learning & Statistics Expert knowledge of supervised and unsupervised learning techniques for classification, regression, and clustering. Deep experience with pricing models, propensity modeling, and recommendation systems. Strong foundation in statistical analysis, hypothesis testing, and experimental design. Familiarity with deep learning frameworks (Tensor Flow, PyTorch) for advanced use cases. Banking Domain Expertise Comprehensive understanding of banking products (Retail or Corporate business), services, and customer lifecycle. Knowledge of Risk functions including credit risk, market risk, and operational risk frameworks. Understanding of Finance functions including P&L drivers, cost allocation, and profitability analysis. Familiarity with regulatory requirements affecting model development (IFRS 9, Basel, etc.). Technical Skills Python for data analysis and model development (pandas, scikit-learn, XGBoost, etc.). SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries). Experience with data visualization and reporting tools. Familiarity with Git (Git Hub/Git Lab) for version control. Basic understanding of Spark for large-scale data processing. Awareness of MLOps practices and model deployment concepts (MLflow, TFX). Communication & Collaboration Ability to translate complex analytical concepts into business language for non-technical stakeholders. Strong presentation skills for executive-level communication. Experience working with cross-functional teams across business and technology. Agile methodologies (Kanban, Scrum) experience.<br><br>Qualifications & Experience<br><br>Master's degree or PhD in Finance, Economics, Statistics, Mathematics, or quantitative field strongly preferred.8+ years of experience in data science or quantitative analysis roles. Minimum 5 years of experience in banking or financial services industry is mandatory. Proven track record of delivering ML models in pricing, propensity, or recommendation domains. Background in Risk, Finance, or quantitative functions within banking preferred. Experience with model validation, governance, and regulatory requirements in financial services. Professional certifications in Risk (FRM, PRM) or Finance (CFA) are a plus.<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.