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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary <br> <p>The Associate, Data Science plays a foundational role in supporting data science initiatives across the bank. The role involves working under the guidance of senior team members to build and deploy machine learning models, conduct exploratory data analysis, and generate data-driven insights to solve business problems. The associate collaborates with business units to understand requirements, supports model development, and contributes to building scalable data science assets that align with QNB’s strategic goals.</p><br> <br> <br><br> Main Responsibilities <br> <p>A. Shareholder &amp; Financial: - Support the development and tracking of KPIs to measure impact of data science initiatives. - Assist in delivering data analytics solutions that drive business efficiency and revenue growth. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. </p><br><p>B. Customer (Internal &amp; External): - Work with internal stakeholders to understand business needs and translate them into data problems. - Assist in preparing clear, concise, and insightful reports or dashboards for business users. - Support model testing and deployment activities, ensuring stakeholder alignment and timely delivery. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. </p><br><p>C. Internal (Processes, Products, Regulatory): - Support the AVP and other senior data scientists in developing machine learning and statistical models. - Prepare and clean large datasets for analysis and modelling purposes. - Contribute to the implementation of AI/ML pipelines and production-ready solutions. - Document methodologies, outcomes, and learnings for reproducibility and scaling. - Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. </p><br><p>D. Learning &amp; Knowledge: - Stay updated on the latest trends in machine learning, AI, and analytics tools. - Participate in training programs and learning sessions to build advanced analytics capability. - Proactively seek feedback and mentorship from senior team members. - Seek out opportunities to stay current with advancements in data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.</p><br> <br> <br><br> Education and Experience Requirements <br> <p>- Bachler Degree University in data science, Computer Science, Mathematics, Engineering, or a related field. </p><br><p>- Familiarity with machine learning techniques, data wrangling, and model evaluation practices. </p><br><p>- High Level knowledge in data science tools like Python, R and Jupiter notebooks is desirable.</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span><span><span><span><u><b>Job Description:</b></u></span></span></span></span></span></span></span><b>Details of the Division and Team</b><p><span>Deutsche Bank Research is responsible for economic and financial analysis within Deutsche Bank Group and covers asset allocation and all major industry sectors. We analyse relevant trends for the bank in financial markets, the economy and society, highlight risks and opportunities and act as consultant for the bank, its clients and stake-holders. </span></p><br><p><span>You will join the dbDIG team (Data Insights Group) that transforms alternative data, advanced analytics and artificial intelligence into client-facing investment research products and publications. In this role, you will shape how research questions become scalable data products, production-ready models, interactive dashboards, and practical artificial intelligence solutions used by analysts and clients. You will work at the intersection of research, data engineering, visualization, and artificial intelligence and help to demonstrate the bank’s applied analytics capability externally</span></p><br><p><b>What we will offer you</b></p><br><p>A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.</p><br><p><u>You can expect: </u></p><br><ul><li><p>Life Insurance&nbsp;</p><br></li><li><p>Accidental Death Insurance</p><br></li><li><p>&nbsp;Medical Insurance for you, your spouse and dependent children in country.</p><br></li><li><p>Flexible working arrangements</p><br></li><li><p>30 days of annual paid leave, plus public holiday &amp; Flexible Working Arrangement</p><br></li></ul><p><b>Your key responsibilities</b></p><br><ul><li><p><span>Drive the end-to-end alternative data agenda, partnering with analyst teams to turn research questions into scalable data products, from problem framing and data acquisition through signal development, statistical modeling, validation, and quality assurance.</span></p><br></li><li><p><span>Own data ingestion and validation standards for alternative datasets, using statistical, machine learning, and artificial intelligence-based checks to identify anomalies early and maintain high-quality inputs for modeling.</span></p><br></li><li><p><span>Collaborate with internal stakeholders across the full project lifecycle, while mentoring and helping manage junior team members working on data science projects.</span></p><br></li><li><p><span>Enhance data reporting by creating interactive dashboards, applications, geospatial maps, animations, and advanced visualizations.</span></p><br></li><li><p><span>Build practical artificial intelligence integrations, including application programming interfaces, model connection points, and secure access to internal data and research environments, to automate repetitive work and improve analyst productivity.</span></p><br></li></ul><p><b>Your skills and experience</b></p><br><ul><li><p><span>Experience building or managing alternative data, advanced analytics, or machine learning products in a research, financial services, or data-driven environment.</span></p><br></li><li><p><span>Strong capabilities in Python, PySpark, Tableau, data extraction, data quality testing, and working with large datasets in database or distributed computing environments.</span></p><br></li><li><p><span>Ability to translate complex research questions into clear analytical approaches, validated signals, and production-ready data products.</span></p><br></li><li><p><span>Experience creating dashboards, visualizations, or applications that make complex data easy for analysts and clients to understand and use.</span></p><br></li><li><p><span>Strong stakeholder management skills, with the ability to partner across research, technology, data engineering, and client-facing teams.</span></p><br></li><li><p><span>Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and compliant use of data and AI outputs.</span></p><br></li></ul><p><b>How we’ll support you</b></p><br><ul><li><p>Flexible working to assist you balance your personal priorities</p><br></li><li><p>Coaching and support from experts in your team</p><br></li><li><p>A culture of continuous learning to aid progression</p><br></li><li><p>A range of flexible benefits that you can tailor to suit your needs</p><br></li><li><p>Training and development to help you excel in your career</p><br></li></ul><p><b>About us and our teams</b></p><br><p>Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.</p><br><p><b>Deutsche Bank &amp; Diversity</b></p><br><p>We strive for a <span><u>culture</u></span> in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.</p><br><p>Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.</p><br><p>We welcome applications from all people and promote a positive, fair and inclusive work environment.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&amp;nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Scientist, your role will encompass:</p><br><ul><li>Conducting ambitious projects in the transformation of clients through data</li><li>Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients</li><li>Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department</li></ul><p>Among your responsibilities as a Data Scientist, you will be responsible for:</p><br><p><strong>Performing data projects</strong></p><br><ul><li>Securing delivery on your projects</li><li>Communicating your work and achievements among the team</li><li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</li><li>Ensuring that your solutions are bringing values to the client problematic</li><li>Being a good team player, knowing your role and responsibility in the global ambition</li></ul><p>&amp;nbsp;</p><br><p><strong>Qualifications: Education &amp;amp; experience required</strong></p><br><ul><li>A Master’s degree in machine learning, mathematics, computer science, or related fields</li><li>Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)</li><li>Strong knowledge of data processing, data modeling, algorithms, and data architecture</li><li>Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact</li></ul><p>&amp;nbsp;</p><br><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&amp;nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&amp;nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&amp;nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&amp;nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&amp;nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p>&amp;nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&amp;nbsp;</p><br> </div>

<p>JOB SUMMARY RKH Qitarat is currently seeking a Senior Asset Data Analyst to join our team and drive service excellence across the Doha Metro and Lusail Tram networks. The role is responsible for maintaining the integrity of FRACAS databases and analysing asset and RAM (Reliability, Availability, Maintainability) performance to support effective asset management. The Senior Asset Data Analyst will validate RAM performance against defined targets, analyse asset failure trends using MMS, and develop dashboards and business intelligence reports for the Engineering &amp; Maintenance department. The role also includes administering MMS hardware and supporting servers, databases, and related IT systems to ensure high system availability, while guiding Asset Data Analysts on FRACAS and RAM processes.</p><p><strong>Desired Candidate Profile</strong></p><p>Candidates should have strong data analytics experience, knowledge of IBM Maximo Manage, FRACAS and RAM principles, and experience with relevant server, database, and IT systems.</p>

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 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>As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, Dev Ops and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.<br><br>You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.<br><br>What You’ll Do:<br><br>Data Engineering<br><br>Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability:Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).<br><br>Data Tools & Product Development<br><br>Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or Java Script/Type Script to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.<br><br>Data Analytics & Business Impact<br><br>Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.<br><br>Stakeholder & Team Collaboration <br><br>Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices. Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.<br>Required Qualifications:<br><br>8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., Big Query, Snowflake, Redshift, Hive, Spark, Vertica, Star Rocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or Java Script/Type Script). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.<br><br>Preferred Qualifications:<br><br>Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis. Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces. Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.<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 #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.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

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)

<p>The Senior Technician – Data Extractions is a specialized field role responsible for the end-to- end retrieval, validation, and submission of meter data from electricity and water meters (Bulk and Domestic). This position combines the technical expertise of an electrician with the precision of a data specialist to ensure seamless communication with KAHRAMAA meters using specialized hardware and software. </p><br><p>Key Responsibilities:</p><ol><li><p>Receive work orders and verify meter locations, ensuring accessibility and safe field conditions.</p></li><li><p>Maintain a dedicated vehicle to ensure timely mobilization across assigned zones</p></li><li><p>Identify and report irregularities, including abnormal readings, unauthorized consumption, or signs of tampering</p></li><li><p>Capture photographic evidence and maintain activity logs (screenshots, data files) as supporting evidence. </p></li><li><p>Adhere strictly to KAHRAMAA’s standards, procedures, and safety protocols for electrical and water systems.</p></li><li><p>Establish communication with electricity and water meters using optical probes, communication cables, and interface adapters. </p></li><li><p>Utilize manufacturer-approved software and laptops to extract billing registers, interval data, event logs, tamper records, and configuration parameters. </p></li><li><p>Maintain full technical capability to interface with all KAHRAMAA meter types, ensuring software and drivers are updated and compatible. </p></li><li><p>Validate extracted datasets for completeness and accuracy, ensuring zero data loss or corruption. </p></li><li><p>Format data precisely according to KAHRAMAA requirements.</p></li><li><p>Perform successful uploads/submissions to the KAHRAMAA system and close assigned cases only once data is accepted. </p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Bachelor's degree in electrical engineering / Electronics.</p></li><li><p>Minimum 5 years of relevant experience in electrical field services, meter reading, or industrial data acquisition. </p></li><li><p>Valid KAHRAMAA certification (preferred).</p></li><li><p>Proficient in using field laptops, meter communication software, and handheld reporting tools. </p></li><li><p>Strong understanding of electrical and water metering and systems; familiar with KAHRAMAA standards. </p></li></ol>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>