Data Scientist Jobs in the UAE

Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings.

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.

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry.Join the FIVE Tribe - and Get Ready to Make Waves.The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter.Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as a Data Scientist / AI Engineer Intern will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights!What We’re Looking ForCurrently pursuing or recently completed a Master’s Degree (or final year of a Bachelor’s) in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field. Availability for a 6-month Internship, ideally as part of an End-of-Studies Academic Requirement. Demonstrated hands-on experience through Internships, Research, or Personal Projects involving Data or AI Systems. Strong proficiency in Python, PySpark and SQL, supported by a solid understanding of Data Engineering, Statistics and Analytical Concepts. Foundational knowledge of Machine Learning techniques including Classification, Regression and Model Evaluation. Familiarity with AI/LLM Systems, including API integrations, workflows and performance monitoring. Basic exposure to Cloud Environments (AWS preferred), including storage (S3) and compute services. Understanding of Data Pipelines, APIs and Data Ingestion processes. Strong Analytical and Problem-Solving Skills with attention to Data Accuracy and Validation. Excellent Communication Skills, with the ability to translate Technical Concepts into Business Insights. Highly Organised with the ability to Manage Priorities in a Dynamic Environment. A proactive, ‘Can-Do!’ attitude with a passion for Building Real-World AI Solutions. Key ResponsibilitiesDesign, Build and Deploy AI and Data-Driven Solutions with Direct Business Impact across Marketing, Revenue and Guest Experience. Develop Conversational AI Agents, including Web-Based and WhatsApp Solutions, to automate Guest Interactions such as Restaurant Reservations. Engineer Marketing Intelligence Systems that analyse complex advertising data (Meta, TikTok, Google) to generate High-Impact Recommendations. Support Hotel Revenue Optimisation by modelling Demand, Occupancy Trends and Real-Time Market Data. Build and Enhance Machine Learning Recommendation Engines to deliver Personalised Guest Experiences and Offers. Own a Core Project End-to-End, from Problem Structuring and Technical Design to Deployment and Iteration. Collaborate with cross-functional Teams to understand Business Needs and translate them into Scalable Data Solutions. Ensure Data Accuracy, Model Performance and Reliability through Testing, Monitoring and Continuous Improvement. Contribute to the Development of Data Pipelines, APIs and Scalable Infrastructure. Present Insights and Technical Outputs in a Clear, Structured and Business-Relevant manner to Stakeholders. The Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential.Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community.An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organisations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity.About FIVE Hotels And ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage.Find out more here: fivehotelsandresorts.com

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.

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 Us:Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.MIC has recognized that the next frontier in competitive advantage will be driven by the adoption of AI and Machine Learning technologies. In response, a new AI Enablement Unit has been formed to lead the effort to define and implement an AI strategy and embed AI into the fabric of the MIC organization.The newly established AI Lab sits within the AI Enablement Unit. It is tasked with developing new and innovative AI and ML-enabled tools and solutions specifically tailored to Mubadala use cases. These solutions are designed to solve critical business problems. The team’s focus is on research and POC development, and its work leverages cutting-edge techniques in generative AI, quantitative analysis, big data processing, optimization, and image and document processing. The team is supported by large engineering teams focused on productization and deployment-at-scale.What you will do:Support the newly established AI Lab in the following areas:Work across our business and investment teams, including supporting functions, to evaluate and implement new AI / ML use cases Bring deep and generalist data science / AI / ML expertise to solve real world business problems using appropriate data-led methods in a scalable wayProvide support to investment and corporate platforms by bringing advanced analytics approaches to the investment life cycle and other supporting functionsAssist in idea generation and validation of new AI initiatives across the MIC business and corporate functions and to support the formalization of a prioritized delivery roadmapAdhere to a strong discipline of model documentation and library development to enable scalability and transferability of advanced analytics projects to other business use casesManage and mentor other MIC staff, and take primary responsibility for timely delivery of complex projects supported by both internal staff and contractorsWhat will you bring:To succeed within this role, you will bring a strong mix of practical experience, technical skills, and business skills, including the following:A technical degree in computer science, statistics, mathematics, financial engineering, or related field, advanced postgraduate degree (MSc or PhD) is advantageous10+ years of experience applying data science and AI / ML methods to deliver commercial impact, preferably within the areas of finance, investments or asset management Expertise in statistical and classical ML techniques (including, for example, tree-based methods, regression, deep learning, forecasting techniques, optimization methods, Bayesian methods, model evaluation metrics)Expertise in the latest techniques in generative AI, (including, for example, agentic workflows, RAG systems, LLM fine tuning, vector databases, optimization and deployment)Advanced coding skills, principally in Python and SQL, with more diverse coding experience (e.g. Java, C++, JavaScript, others) considered an advantage, as well as experience with coding assistantsUnderstanding of production grade engineering in AI, including familiarity with common cloud platforms (AWS, Azure), collaboration tools, and principals underpinning the design of complex, modular, scalable AI / ML servicesYou will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside MubadalaYou will be an excellent communicator able to build relationships, communicate and influence both within the AI Enablement Unit, and the wider organizationYou will be able to orchestrate, manage and deliver projects by managing and overseeing multiple technical contributors, with an eye on deadlines and a practical results-driven mindsetMost importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.What we offer:A superior platform to grow your career including:Making a difference with a social and financial impactGreat working environment with talented colleaguesMarket leading pay and benefits including performance payHybrid working and wellness benefits to help you live your best work and private lifeOpportunity to grow and develop through learning and experienceExcellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic, and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.Key Indicators:Location: Abu DhabiFlexible Working: Remote working up to 5 days a month (Post probation)

WE ARETransforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.IF YOU AREA holder of a Ph.D. or master's degree in computer science or a related fieldExperienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generationCompetent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AIAdept at applying advanced deep learning techniques in practical scenariosWell-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applicationsProficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasksAware of the software development lifecycle of AI projects, machine learning operationalization processesExperienced with AI solutions deployment to the main cloud providersHands-on with Python and TensorFlow or PyTorchHands-on with Azure AI Foundry, Azure OpenAI, Azure AI Services, and cloud-native AI solution developmentExperienced with agent frameworks such as Microsoft Agent Framework, OpenClaw, Databricks agentic capabilities, LangChain, LangGraph, or similar technologiesKnowledgeable in building scalable multi-agent workflows, including agent routing, orchestration, tool usage, memory management, context persistence, and handoff protocolsStrong in LLM system design and instruction architecture, including system message design, few-shot structuring, reasoning patterns, behavioral guardrails, and safe tool-use policiesPossessing strong interpersonal, analytical, and problem-solving skillsEasily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understandCapable of maintaining business communication in English at the upper-intermediate levelAND YOU WANT TOWork with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in productionChoose relevant computational tools for study, experiment, or trial research objectivesDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniquesDevelop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applicationsProduce clear, concise, well-organized, and error-free computer programs with the appropriate technological stackPresent results directly to stakeholders and gather business requirementsDevelop expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skill set within a dynamic and supportive environmentWork with Big Data solutions and advanced data tools in cloud platformsBuild and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insightsLead teams of data scientists and software engineers to successful project executionTOGETHER WE WILLMaintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsDrive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generationCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertiseSoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

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.

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.

About us:Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.About the Client:Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.RequirementsRole OverviewWe are seeking a Lead Data Scientist (Fintech / Banking) with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. The ideal candidate has a strong track record of leading high‑performing teams (5-10 members), delivering scalable ML solutions, and operating with high agility in fast‑paced environments.Key ResponsibilitiesLeadership & StrategyLead, mentor, and grow a team of 5-10 data scientists and ML engineersDefine the data science roadmap aligned with business, product, and engineering goalsDrive end‑to‑end ownership of ML models — from ideation to deployment and monitoringCollaborate with cross‑functional stakeholders (Product, Engineering, Risk, Compliance, Business)Technical ExecutionBuild and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalizationArchitect scalable ML pipelines using modern data platformsConduct exploratory data analysis, feature engineering, and model validationEnsure model governance, fairness, explainability, and regulatory compliance (especially in BFSI)Operational ExcellenceChampion agile methodologies, rapid experimentation, and iterative deliveryImplement best practices in versioning, CI/CD for ML, and model monitoringTranslate complex data insights into clear, actionable business recommendationsRequired Skills & Experience8+ years of hands‑on experience in Data Science, ML, or Applied AIProven experience leading teams of 5-10 in high‑velocity environmentsStrong background in fintech, digital banking, payments, lending, or risk analyticsExpertise in:Python, SQLML frameworks (TensorFlow, PyTorch, Scikit‑Learn)Cloud platforms (AWS, GCP, Azure)MLOps tools (SageMaker, MLflow, Kubeflow, Airflow)Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑series forecastingExperience working with large‑scale data pipelines and distributed systemsStrong communication skills with the ability to influence senior stakeholdersHigh agility, ownership mindset, and a positive, collaborative attitudePreferred QualificationsExperience in credit scoring, fraud analytics, or regulatory‑grade model developmentExposure to real‑time decisioning systemsPrior experience in startups or high‑growth fintechsWhat We OfferOpportunity to lead high‑impact data science initiatives in a rapidly scaling fintech environmentCross‑functional ownership and autonomyCompetitive compensation and performance‑based rewardsCollaborative, innovation‑driven culture

Job Title: Senior Data Scientist – Contract – Abu DhabiLocation: Abu Dhabi, UAE (Onsite)Role Type: Contract (6 months, with potential to extend)We’re hiring a Senior Data Scientist for a 6 month contract role, starting immediately, in Abu Dhabi.We’re looking for someone with strong experience in LLMs, agentic workflows, and applied machine learning. This is an exciting opportunity to help design and deploy next-generation AI solutions that power intelligent agents, natural language interfaces, and knowledge-driven applications.What you’ll be doing:· Building and optimising LLM-based solutions for summarisation, semantic search, dialogue systems, and reasoning.· Developing agentic workflows using LLMs, tools, APIs, and data pipelines.· Fine-tuning and aligning models using prompt engineering, RAG, RLHF, and knowledge grounding.· Working on multi-modal AI pipelines combining LLMs, computer vision, knowledge graphs, and structured data.· Collaborating with engineers, data teams, and product stakeholders to bring AI models into production.What we’re looking for:· 5+ years’ experience in AI, ML, or intelligent agent development.· Strong Python skills and hands-on experience with TensorFlow, PyTorch, and Hugging Face.· Experience with LangChain, LlamaIndex, Haystack, or similar orchestration frameworks.· Knowledge of RAG pipelines, vector databases, and modern AI system design.· Excellent communication, problem-solving, and collaboration skills.Recruitment processThe role has recently opened so please apply. When your application is reviewed, you will be contacted if your profile meets the requirements. The customer will conduct online interviews. Your ConsultantMichael Deane, Senior Recruitment Consultant with a focus on placing C-Suite, VP & Senior talent, along with Technical and Business Development professionals within Enterprise Technology across the Middle East region. Michael has an extensive technical, leadership and recruitment background.If you’re available to start immediately and interested in a 6 month contract role in Abu Dhabi, please apply.

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.

Organization Unit PurposeEmirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD’s ambitious advanced analytics agenda across ENBD.Core objectives of the center include:- Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU’s- Instill a data driven culture across ENBD by building organization wide capabilities in advanced analyticsThe CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what’s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget & performance managementJob PurposeThe data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targetsThe role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniquesThe senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needsThe role supports Translators in communicating the design, functioning and output of the analytical models/solutions developedThe senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growthJob ContentDeliver a strong roadmap of AA projects in collaboration with Business UnitsDesigns and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targetsArtefact documentationSuccessful documentation of reusable codeDevelopment and learningAchieve personal technical development and learning goalsCollaboration and knowledge shareConduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etcParticipates in and helps plan cultural initiatives for CoEEducationUniversity degreeAdvanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirableExperiences6-8 years of experience in a data science role is essentialKnowledge & SkillsValidated experience of defining analytics road map and leading analytics engagementsShould have experience in machine learning, statistics, optimization or related fieldsExperience with programming is a must; specifically experience in R or PythonExperience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essentialStrong analytical and problem-solving skillsWorked in agile environments with multiple stakeholders from the businessBehavioral CompetenciesPractical and action orientedCompelling communicatorExcellent stakeholder managementFoster and promote entrepreneurial spirit and curiosity amongst team membersTeam playerQuick learner

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.