Data Scientist Jobs in the UAE

We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Asia Pacific’s exciting and diverse landscape.You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.At your fingertips, you’ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!What You'll DoDevelop data driven strategies to drive the growth of Spotify users and subscribersIdentify new user growth levers in the SAMEA region and use experimentation to help drive that growthCreate and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimizationBuild scalable data pipelines and dashboards to facilitate business performance trackingWork closely with business partners to understand the change they are driving and help them discover new opportunities for growthDesign and implement comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the wayPresent your findings to senior collaborators, influencing the course of our businessWho You AreYou have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQLExperience with distributed systems and cloud data platforms (BigQuery or GCP) is a plusExperience with AI tools (LLMs and coding assistants) is a plusIntellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the dataHave experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendationsHave a background in Economics, Computer Science, Statistics, Engineering or a relevant fieldComfortable working on a globally distributed team (with occasional international travel)Relevant experience in a consumer tech/product company is a plusWhere You'll BeThis role will be based at Spotify’s office in DubaiWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from homeWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-noticeToday, we are the world’s most popular audio streaming subscription service.

Job DescriptionAbout Wynn Al Marjan Island:On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.About The PositionWynn Al Marjan Island is looking for a Data Scientist to join our Database Marketing team.ResponsibilitiesThe primary duties and responsibilities of this role are: Build, maintain and optimize predictive models for the Gaming Marketing Campaigns Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources Maintain documentation for model inputs, business rules, and assumptions Support campaign operations by producing analytical variables, flags, segments, and model driven attributes Perform ad hoc analysis to support marketing decision making Build and maintain performance dashboards and recurring reports for Models and Campaigns performance Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation Perform checks to identify anomalies, missing data, or unexpected trends Keep analytical workflows organized, reproducible, and documented Summarize findings clearly for non-technical stakeholders About You Master or Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field. +2 years of experience in data science and analytics (Gaming experience is a plus but not required). Strong Python and SQL skills for data manipulation and analysis. Experience with Machine learning models (experience with Databricks is a plus) Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation) Experience working with large datasets and operational, recurring analytical tasks. High attention to detail with strong QA instincts. Ability to explain analytical outputs clearly to non‑technical stakeholders. Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment. About Wynn Al Marjan Island’s BenefitsWe offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The Graduate ProgrammeOur Graduate Programme is built for ambitious graduates who want to launch their careers in fintech. Over this 12-month programme, you’ll work on real projects, solve complex challenges, and make an impact from day one. With structured training and hands-on experience, you’ll grow your skills while exploring different areas of the business.Top performers can be promoted during or after the programme, giving you the chance to continue your journey at Revolut.About The RoleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.We’re looking for Graduate Data Scientists and Analysts who are analytical, curious, and ready to deliver impact with data.Up to shape what's next in finance? Let’s get in touch.Join us from anywhereThe Graduate Programme is open to international applicants willing to relocate to one of our tech hubs in Poland, Portugal, Spain, the UK, or the UAE. We’ll support you with visa assistance, travel costs, and accommodation (conditions apply). You’ll be expected to spend around 3 days per week in the office (where role and location allow).Key datesApplications: open from May 2026Recruitment process: July–December 2026Programme start: early 2027 (January–June) or late 2027 (July–December)Roles are filled on a rolling basis, so apply early. You can specify your preferred intake during the recruitment process.What You'll Be DoingTaking part in a hands-on bootcamp and working on real projects across multiple teamsHelping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launchesImproving visibility in user sign-up flows and operational funnelsEnhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliableCollaborating with teams across Operations, Growth, and Product to refine features and uncover insightsSupporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)Learning from industry leaders and staying aligned with team priorities through weekly meetingsManaging tasks, tracking progress, and communicating key outcomesSharing updates with our global teamsReceiving regular feedback to guide your developmentWhat You'll NeedA predicted or achieved 2:1 (or equivalent grade) in computer science, maths, physics, or a related fieldTo have graduated in 2025, 2026, or 2027Impressive Python and SQL skillsA solid foundation in maths and statisticsAn interest in analytics engineering, product analytics, data science, or ML engineeringGreat problem-solving skills and a proactive mindsetFluency in English and excellent communication skillsFull-time availability from early or late 2027The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

As the Data Scientist at First Abu Dhabi Bank within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes.Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline specifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies. Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or relatedfield; Additional Degree or certifications in the field related to data science/Analytics ispreferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage.

We’re looking for a hands-on Senior Data Scientist / ML Engineer to help build and deploy scalable machine learning solutions across financial products.This is a practical, business-focused role for someone who enjoys taking models from experimentation through to production and working closely with engineering, product, and business teams to drive measurable impact.What You’ll Do:Build and deploy machine learning models for real-world business problemsDevelop end-to-end ML pipelines including data preparation, training, validation, deployment, and monitoringWork with large and complex datasets to generate actionable insightsPartner with engineering teams to productionize models and APIsCollaborate with stakeholders across product, risk, operations, and analyticsImprove model performance, reliability, and scalabilityContribute to MLOps, automation, and deployment best practicesSupport AI and advanced analytics initiatives across the businessRequired Skills & Experience:6+ years of experience in Data Science, Machine Learning, or ML EngineeringStrong Python and SQL skillsExperience building and deploying ML models into production environmentsStrong understanding of machine learning fundamentals and model evaluationExperience working with cloud platforms (AWS, Azure, or GCP)Experience with tools/frameworks such as:scikit-learnPyTorch or TensorFlowSpark or DatabricksDocker / CI-CD pipelinesExperience building APIs or production servicesAbility to work with both technical and non-technical stakeholdersPreferred:Banking, fintech, or financial services experienceExperience with customer analytics, fraud, or decisioning modelsFamiliarity with MLOps and model monitoringExposure to NLP, LLMs, or Generative AI use casesExperience with Airflow, MLflow, Kubernetes, or Hadoop ecosystemsWe value people who:Take ownership and solve problems end-to-endCan balance experimentation with production deliveryThink commercially and focus on business outcomesCommunicate clearly and work well across teamsEnjoy building scalable, reliable systemsTech EnvironmentPython • SQL • Databricks • Spark • Docker • APIs • Cloud Platforms • MLflow • CI/CD • Power BI

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.Academic Background: Bachelor’s in STEM (Master’s a plus).By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

About the RoleThe Data Scientist will support CCAD’s academic and clinical research mission by designing, developing, and operationalizing advanced analytics, machine learning, and AI models for investigator-initiated and sponsored research. This role will work closely with clinicians, researchers, and external academic partners to enable data-driven discovery, AI-enabled clinical studies, research registries, and translational innovation. The role will also support evaluation and implementation of external AI research platforms and contribute to CCAD’s AI research infrastructure.This role will involve designing, developing, and validating AI/ML and statistical models to support investigator-initiated trials, registries, and translational research studies.ResponsibilitiesDesign, develop, train, and validate AI/ML and statistical models to support investigator-initiated trials, registries, and translational research studies.Support AI/ML model development using structured and unstructured clinical data, imaging, genomics, and real-world data sources.Maintain model performance post deployment and retrain or tune the model as required.Support retrospective and prospective AI studies, including feasibility, validation, and performance evaluation.Collaborate with investigators, research personnel, and research administration to translate clinical and scientific questions into AI/ML-enabled research use cases.Contribute to the development and maintenance of research registries.Extract, process, clean, and validate quality datasets that might be used in the development of models.Collaborate with external partners on joint AI research projects, including data preparation, model development, and publication support.Provide technical evaluation and research input on external AI platforms.Support preparation of grant applications, protocols, statistical analysis plans, and research deliverables involving AI/ML methodologies.Communicate analytical findings clearly to clinical, academic, and executive stakeholders, including limitations, assumptions, and validation approaches.Perform other research-related analytical duties as assigned.QualificationsBachelors in a relevant field such as Statistics, Computer Science, Biomedical Informatics, Data Science, Mathematics, Physics.Masters in a relevant field such as Statistics, Computer Science, Biomedical Informatics, Data Science, Mathematics, Physics.Required SkillsStrong foundation in statistics, machine learning, and applied AI within a healthcare or biomedical research context.Demonstrated experience developing AI/ML models for research, including cohort-based and hypothesis-driven analyses.Experience working with clinical data sources (e.g., EMR-derived datasets, registries, imaging, omics, real-world data).Experience with transformation and cleaning of both structured and unstructured data.Ability to design reproducible research workflows and document analytical methods suitable for publication and regulatory scrutiny.Experience with feature engineering, model validation, bias assessment, and performance evaluation in clinical research settings.Proficiency in Python and relevant ML/AI libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow).Experience with SQL and large-scale data environments; exposure to GPU-enabled computing environments is strongly preferred.Experience with extracting data from database management systems.Experience with deploying models into production.Ability to collaborate effectively with clinicians, researchers, and external academic partners.Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders.Preferred SkillsExperience with the following software:Cloud Platforms: Azure, AWS, GCPDatabase Management Systems: MS SQL Server, Azure Data Lake, Azure SynapseData Wrangling: MS SSIS, Azure Data FactoryStatistical Analysis Software: SAS, SPSS, MinitabVersion Control: GitHubPlatform: Databricks, Azure MLScripting Language: Python (Pandas, NumPy, Seaborn, Matplotlib)Query Language: SQLStatistical Computing Package: ROther Languages: Spark SQLDeployment Software: DockerVisual Analytics: Power BI, Tableau, Minitab, ExcelUI Tools: Shiny, Power AppsHugging Face / TransformersXGBoost / LightGBMEpic Clarity / CaboodleHealthcare or life sciences research experience is preferred.Prior experience supporting grant-funded research, publications, or academic collaborations is highly desirable.

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job DescriptionAs the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a Sr. AI Scientist on the global AI hub, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.ResponsibilitiesLeveraging ambiguous business problems as opportunities to drive objective criteria using data.Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.Designing and implementing effective and impactful machine learning and generative AI systems in production.Developing a deep understanding of the product experiences and business processes that make up your area of focus.Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.Working closely with product and business teams to identify important questions that can be answered effectively with data.Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.Designing, planning, and analyzing experiments (A/B and multivariate tests).Supporting product and business managers with KPI design and goal setting.Mentoring other data scientists in their growth journeys.Contributing to improving our ways of working, our tooling, and our internal training programs.QualificationsRequirementsTechnical ExperienceExperience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).Excellent SQL.Competence with reproducible data analysis using Python or R.Familiarity with data modeling and dimensional design.Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.Familiarity with BigQuery and the Google Cloud Platform is a plus.Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.QualificationsBachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.5+ years of experience working in data science, machine learning, and Gen AI.Experience doing data science in an online consumer product setting is a plus.A good problem solver with a ‘figure it out’ growth mindset.An excellent collaborator, and communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen.

Develop, validate, and deploy advanced machine learning, statistical, and AI models (descriptive, predictive, prescriptive, supervised, and unsupervised) to support strategic, operational, and policy decision making across the organization. Engage with clinical, business, and cross unit stakeholders to understand needs, identify opportunities, and frame, prioritize, and deliver high impact analytics and data science driven use cases. Conduct exploratory data analysis, feature engineering, and advanced analytics on structured and unstructured healthcare and administrative data to generate actionable insights, scenarios, and forecasts. Collaborate closely with Data Engineering, platform, and architecture teams to ensure reliable, secure, high quality data pipelines and seamless operationalization of analytical models into production systems. Work with Data Governance, Privacy, Security, and Quality teams to ensure compliance with health data regulations, ethical AI principles, data standards, and internal policies. Design and execute robust model evaluation and validation processes, including hypothesis testing, bias and fairness assessments, A/B testing, sensitivity analysis, and ongoing performance monitoring. Conduct market and technology scanning to stay current with emerging data science trends, tools, and healthcare analytics innovations, and assess their relevance and potential value to the organisation Lead research efforts to explore new data sources, analytical techniques, and AI tools, and provide strategic guidance on adopting data driven innovations that enhance organizational outcomes. Translate complex analytical results into executive ready insights, dashboards, policy briefs, and presentations to support leadership, planning, and evidence based decision making. Serve as a thought leader by contributing to internal capability building, mentoring, knowledge sharing, and representing the organization through presentations, publications, or analytical forums when appropriate Undertake all duties and responsibilities reasonably required and aligned with the data management & governance.

SUMMARY OF FUNCTIONS:The Data Scientist supports the Office of Vice-Chancellor for Institutional Planning and Effectiveness by developing descriptive, predictive and prescriptive models using machine learning algorithms, conducting statistical analyses to support decision-making for higher management, and providing recommendations, based on data analytics, to enhance academic quality, student success, and performance effectiveness of colleges/offices, with particular focus on MOHESR Outcome-based Evaluation Framework (OBEF).ESSENTIAL DUTIES& RESPONSIBILITIES:Data Analysis / Data Engineering: Collect, clean, and preprocess data for analysis in the context of Higher Education Institutions (HEIs).ML Modeling: Develop predictive and prescriptive models using machine learning algorithms.Statistical Analysis: Conduct statistical analyses to highlight the gaps in achieving the specified targets of OBEF KPIs, support decision-making, and solve business problems.Business Intelligence: Analyze data to identify trends, patterns, and insights. Also, create data visualizations and dashboards to communicate findings effectively as well as to follow up on implementation of Corrective Action Plans (CAPs) submitted to MOHESR.Translate data insights into actionable recommendations for various stakeholders.Prepare reports and presentations for management.Communicate findings and insights to both technical and non-technical stakeholders.Take initiatives to enhance the effectiveness, efficiency, and performance of various units at AU through in-depth data analysis.Support other members of the team as directed by the Vice-Chancellor for Institutional Planning and Effectiveness.QUALIFICATIONS & EXPERIENCE:A Bachelor's degree in Data Science, Computer Science, or a related field is required. However, a Master's degree is preferred for this position.The applicant must have at least four years' experience as a data scientist or in a similar role, including experience in a Higher Education Institution.Strong programming skills in languages such as PythonProficiency in using data analysis and machine learning libraries (e.g., Pandas, NumPy, sci-kit-learn, TensorFlow, Colab..)Proficiency in utilizing data visualization tools (e.g., Matplotlib, Tableau, MS Power BI, or other related toolsFamiliarity with big data technologies (e.g., Hadoop, SparkProject management experience.KNOWLEDGE &SKILLS:Analytical skillsProblem-solving and critical-thinking skillsCommunication skillsAdvanced skills in programmingAdvanced skills in professional report writingWORKING CONDITIONS:Work is typically performed in a typical interior/office work environmentNo or minimal physical effort is requiredNo or minimal exposure to physical risk.The position may entail work after duty hours, on weekends, holidays, and in emergencies (i.e., may be subject to "on-call" responsibilities.SUPERVISION:Reports to: The Vice-Chancellor for Institutional Planning and Effectiveness.Working Relationships & Subordinates: This position has no supervisory responsibilities.

About the CompanyLiquidity is the world's leading AI-powered private credit firm, pioneering a new standard in growth capital through a nexus of the sharpest minds in private credit and technology. With a global reach and regional expertise in every key market across North America, Europe, APAC and MENA, Liquidity supports visionary growth and mid-market companies in 45+ sectors, deploying multi-billion-dollar capital with unmatched speed, precision and adaptability. Powered by breakthrough decision science technology that deploys growth capital faster than any firm in capital markets history, Liquidity clears the path for innovative companies to move further, faster and at scale. Built on trust, Liquidity is backed by leading financial institutions including MUFG Bank Ltd., Spark Capital and KeyBank.About the RoleWe are looking for a Senior Data Scientist to research, architect, and deploy machine learning models and production-ready AI systems at the heart of Liquidity's credit intelligence platform. You will own the full lifecycle of data science solutions, spanning credit scoring, cash flow forecasting, and autonomous capital allocation workflows, directly shaping how we evaluate creditworthiness and deploy capital across a global portfolio. Beyond modeling, you will translate complex outputs into clear insights and present findings to credit, treasury, and investment stakeholders, closing the loop between algorithmic precision and real business decisions. This role is for highly quantitative problem-solvers who balance innovation with pragmatism, build iteratively from MVPs, and stay genuinely curious about how emerging tools can sharpen their work. You care about reliability, interpretability, and measurable impact, not just model performance in isolation.ResponsibilitiesCredit Intelligence & Predictive Modeling: Build and deploy models for credit scoring, cash flow forecasting, risk classification, and portfolio optimization that directly inform underwriting and lending decisions.Intelligent Workflows: Design data-driven agents with financial guardrails and human-in-the-loop controls for critical treasury and capital allocation decisions.Orchestration & Multi-Agent Systems: Coordinate complex, multi-step workflows using LLM pipelines and orchestration frameworks to analyze market data, liquidity constraints, and portfolio signals.Data Storytelling & Dashboarding: Translate model outputs and portfolio insights into clear, actionable dashboards and reports for credit and executive stakeholders.MLOps & Model Lifecycle: Manage the full model lifecycle, including experiment tracking, versioning, deployment, and monitoring, to detect drift, ensure reproducibility, and maintain production reliability.Production Engineering: Develop model-serving APIs and deploy within event-driven cloud architectures, collaborating with engineering on scalable, well-observed systems.Qualifications6+ years of experience in Data Science, Quantitative Modeling, or AI/ML, including 2–4 years deploying production-grade ML models, agentic AI, or LLM pipelines.Required SkillsModeling: Time-series forecasting, credit scoring, regression, classification, and optimization; proficiency with tree-based models (XGBoost, LightGBM) and model interpretability techniques such as SHAP.Technical Stack: Advanced Python (Pandas, Scikit-learn); MLOps tooling (MLflow); exposure to deep learning frameworks (PyTorch or TensorFlow) a plus.Data & Databases: Strong SQL; experience with Postgres, MySQL, or Databricks.Visualization: Fluency in at least one dashboarding tool (Streamlit, Tableau, or Power BI).AI Fluency: Stays current with the rapidly evolving AI landscape; able to translate business problems into clear AI directives and effectively supervise and evaluate intelligent workflows.Software Engineering: Strong coding practices, with the ability to write clean, maintainable Python and debug complex issues across data pipelines, model serving, and integrated systems.Communication & Presentation: Able to distill complex quantitative work into clear narratives and present findings confidently to credit, investment, and executive stakeholders.Preferred SkillsMaster's degree or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, Finance, etc.).Domain experience in FinTech, private credit, or quantitative finance.Infrastructure & deployment: Docker, CI/CD pipelines, cloud platforms (AWS Lambda, Serverless, Containers), and observability tooling (Langfuse, CloudWatch, or Datadog).NoSQL and alternative data stores: MongoDB, Neo4j, and vector databases.Familiarity with web technologies (REST APIs, basic HTML/JS) and ETL pipeline design.Experience with FastMCP or MCP-based tooling.

Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 284+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.For the Good of TomorrowDubai Holding is looking to hire an Associate Director – Data Scientist within the Information Technology Department at Dubai Holding. The role holder is responsible for data and analytics insights, artificial intelligence delivery to business owners as part of the Company’s AI Center of Excellence. The job holder is expected to drive significant impact and value through data and analytics within the business by identifying net new opportunities for impact, managing a diverse portfolio of analytics projects, leading high-profile initiatives, and collaborating with cross-functional partners to ensure awareness, agreement, alignment and commitment.If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.Key Accountabilities: AI & analytics delivery: Manage delivery of AI/Data Science projects with business partners. Build appropriate machine learning models to deliver business outcomes. Drive topline or bottom-line impact through advanced analytics. Roll out AI strategy workstreams including tech development and implementation. New opportunities in partnership with business verticals:Build deep understanding of functional areas (e.g., Ops, Marketing, Finance) to identify new opportunities for optimising ROI. Develop AI use cases for customer growth or operational efficiency. Jointly own KPIs and performance metrics with business stakeholders. Work closely and collaborate with product managers for use case delivery. Ensure delivery within scope, budget, and schedule.Agile delivery & team collaboration:Promote agile methodologies and iterative development. Collaborate cross-functionally to ensure alignment and commitment. Who we are looking for:8+ years of experience and 2+ years of line management.Education/Professional Certification: Minimum requirementsBachelor’s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI) Advanced degrees preferred. Technical Competencies: Experience in the following databases: MySQL, Microsoft, Palantir Foundry etc. Experience in implementing AI solutions including OCR, Large Language Models, etc. Experience with LLM, GenAI, machine learning, predictive modelling/ algorithms etc. Proficiency in Python, SQL, PL/SQL, Spark and similar languages Strong analytical and problem-solving skills Experience working in a tech/ product environment is a plus Behavioural Competencies:High-energy, ownership-driven mindset Strong problem-solving and analytical skills Excellent communication and collaboration abilities Comfortable navigating ambiguity and driving clarity Experience in agile/start-up environments preferred Successful track record of leading complex projects is a plus As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.In This Role, You'll Help The TeamCo-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have:English - fluent, Arabics - fluent/native will be a big plusCuriosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python and R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical Skills That May Help You In The RoleExperience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in JavaScript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking What are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.comProtect yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.