Data Scientist Jobs in the UAE

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.Perform statistical analysis and data exploration to extract meaningful insights from complex datasetsSupport the development and validation of predictive models to identify trends and patternsContribute to the development of AI/ML models and data-driven solutionsConduct exploratory data analysis to support decision-making and operational planningAssist in building and maintaining data pipelines for data collection, processing, and integrationCollaborate with data scientists, engineers, and cross-functional teams to improve data workflowsDevelop scripts and tools to automate repetitive tasks and improve efficiencySupport initiatives to enhance data quality, structure, and accessibilityApply basic experimental and analytical approaches to test ideas and evaluate outcomesContribute to improving data systems, workflows, and analytical capabilitiesAssist in identifying data gaps, inconsistencies, and opportunities for optimizationParticipate in team meetings, project discussions, and knowledge-sharing sessionsEducationBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.Required SkillsProficiency in Python, R, SQL, or similar programming languages.Experience with data visualization platforms such as Power BI or Tableau.Strong understanding of statistical techniques and modeling approaches.Foundational knowledge of AI/ML concepts and applications.Experience working with relational and/or NoSQL databases.Familiarity with cloud-based big data technologies.Ability to explain complex technical findings to non-technical audiences.Understanding of intelligence analysis processes and mission requirements.Experience working with structured and unstructured datasets in complex environments.ExperienceMinimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your Role And ResponsibilitiesSupport Data & AI engagements through use-case analysis, agentic AI research, solution documentation, and client deliverable preparation.Eligibility: UAE Nationals are prioritized for this internship.Required Technical And Professional ExpertiseBasic understanding of AI and agentic concepts; analytical and use-case assessment skills; clear written communication.Preferred Technical And Professional Experience Familiarity with Cloud Platforms: Exposure to cloud platforms such as Kubernetes, AWS, Azure, or GCP, and related services is beneficial. Knowledge of Relational and NoSQL Databases: Basic understanding of working with a variety of relational and NoSQL databases, including SQL, Postgres, DB2, and MongoDB. Understanding of Modern UI Frameworks: Interest in modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery is advantageous.

Introduction As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product (specific product language here) algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you! RequirementsMS degree in Statistics, Math, Data Analytics, or a related quantitative field4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimizationExperience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similarHands-on experience with any of Python DL libraries such as PyTorch, TensorFlow on kerasHands-on experience with working on CUDA backendHands-on experience with Linux system terminal, shell scriptingWorking knowledge of ELK stack and Message Broker queuesProven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approachesComfortable with cloud-based platforms (AWS, Azure, Google)Good planning abilities in order to accurately make project timeline estimates.Ability to show initiative and work independently with minimal direction.Demonstrate a desire to remain current with industry technologies and standards.Self-starter and strong interpersonal skills.Nice to haveComfortable with cloud-based platforms (AWS, Azure).Good communication and presentation skills.Experience with media data (platforms and customer data from either the media agency, technology, or brand side).Good appreciation for the Agile/Scrum methodology

🚨🌟HIRING FOR A TOP TIER CONSULTING FIRM - UAE🌟🚨 A prestigious Top Tier Global Management Consulting Firm is hiring for 2 exciting roles:1️⃣ Data Scientist 2️⃣ AI Software Engineer & Senior AI Software EngineerThis is your chance to work at the intersection of consulting, AI, data science, software engineering, and real-world business impact.🔍 What we’re looking for:📊 Data Scientist role:✅ Data Science Expertise: Strong experience applying data science, statistics, machine learning, advanced analytics, and AI techniques to solve real-world business problems.✅ Machine Learning & Analytics: Deep understanding of modern machine learning techniques, mathematical foundations, advanced analytics, and the ability to translate complex data into clear business insights.✅ Technical Skills: Strong hands-on experience with Python, data science tools, statistical modelling, machine learning models, data visualization, and modern development tools.👨 💻 AI Software Engineer / Senior AI Software Engineer roles:✅ Software Engineering Expertise: Strong experience in software development, building scalable AI solutions, large-scale data analytics, and developing robust, maintainable software.✅ AI Solution Development: Experience designing, building, implementing, and deploying AI / ML-powered solutions across the full software development lifecycle.✅ Technical Skills: Strong hands-on experience with Python, cloud platforms such as AWS, Azure or Google Cloud, data structures, scalable systems, APIs, agile delivery, and modern engineering practices.✅ Engineering Best Practices: Ability to apply software development standards, optimize computational efficiency, improve software design, and collaborate with global / remote agile squads.🎓 Common Requirements Across Both Role Families:✅ Education: Master’s Degree or PhD in Computer Science, Machine Learning, Applied Mathematics, Statistics, Data Science, Software Engineering, or related disciplines.✅ Consulting / Top-Tier Experience: Current or previous experience with Tier1/2 or Big 4 Consulting firms📩 Interested? Let’s talk.📧 Email CV to: rithvik.p@tandemsearch.com📝 Subject: AI Engineer / Data Scientist – [Your Current Firm & Level] – [Current City]💬 Or just DM me right now. I respond personally.🔗 Know someone who fits? Tag them below or share!#2026Hiring #MBBHiring #MBB #Bain #BCG #McKinsey #Kearney #StrategyAnd #RolandBerger #OliverWyman #2026Jobs #DataScientist #SeniorDataScientist #AISoftwareEngineer #SeniorAISoftwareEngineer #ArtificialIntelligence #MachineLearning #AdvancedAnalytics #DataScience #Python #CloudComputing #TechnologyConsulting #ManagementConsulting #ConsultingCareers #TopTierConsulting #CareerGrowth #MiddleEastJobs #DubaiJobs #RiyadhJobs #AbuDhabiJobs #JobsInConsulting #AIJobs #MLJobs #AnalyticsJobs #Hiring #TechJobs #ConsultingJobs

We are currently looking for a talented Data Scientist –Team Lead & Data Scientist to our team in Abu Dhabi !!!Requirements:Computer vision (object detection, tracking, re-ID, action recognition, segmentation);YOLO, ViT / Transformer models, RF-DETR;VLMs & fine-tuning; • optimisation (TensorRT, ONNX, OpenVINO);Python, PyTorch / TensorFlow;Full MLOps lifecycle; edge-AI constraints (latency, FPS, GPU);Multi-camera tracking;Team leadership, code review & mentoring;Stakeholder communication & solution architecture.CV expertise (detection, tracking, segmentation)Hands-on with YOLO, RF-DETR and similar modelsExperience in fine-tuning Vision-Language Models (VLMs)Quantization ExperienceData preprocessing, augmentation & dataset curationModel training, tuning, evaluation (mAP, precision/recall)Experience with video datasets & annotation feedback loopExperiment tracking (MLflow/W&B)Model optimization basics (TensorRT, ONNX)Understanding of real-world deployment challengesEducational: Computer science or engineering (preferred)3-7 years of hands-on experience in AI/ML applications8-15 years leading and coaching teams, demonstrable track record of projects delivered, bringing value to its recipientsYou are looking for a great opportunity to be part of an amazing challenge. This job is for you!!!About KLANIK:Klanik is an IT consulting company providing solutions to some of the world’s largest industrial and services groups for 10 years.We support our clients with the creation and development of their new products and services around 4 main business lines:➜ Information Technology and Systems (IT & IS)➜ DevOps and Cloud➜ Big Data and AI➜ CybersecurityKlanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, Middle East and the Americas.Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!Being a “KLANIK”That means being an out-of-the-box thinker, a precursor who is keen to create, innovate and collaborate in an environment where you can enjoy being yourself and valued for your ideas. It’s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit for our culture!Our culture is our prideAt Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside the pride in a job well done.Our community motto is that people give the best of themselves when they feel listened to, respected, and empowered to develop themselves. Therefore, the better we treat our people, the bigger the success they will achieve. We apply those values on a day-to-day basis among our teams, with our clients, and even with our competitors.Being part of the Klanik community means relying on each other, learning from each other, and growing all together. Our community fosters creativity, innovation, and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.

Job Purpose:The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF’s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.Roles and ResponsibilitiesKey AccountabilitiesDesign and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured dataConduct predictive and prescriptive analytics to support economic and financial policy initiativesContinuously enhance models for performance, accuracy, and scalabilityClean, transform, and manage diverse data sources using automated ETL pipelinesCollaborate with IT to optimize data infrastructure for secure and efficient accessEnsure data quality and alignment with organizational data architecture standardsPartner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)Apply advanced techniques such as deep learning and NLP to enhance researchMonitor developments in data science and introduce relevant tools and techniquesDevelop dashboards and visualizations to communicate insights to policymakersCreate data storytelling outputs for publications, policy discussions, and trainingEnsure consistent and accessible data presentation across platforms and reportsComply with data protection regulations, internal policies, and ethical AI standardsSupport implementation of data governance frameworks and quality standardsParticipate in audits and compliance reviews related to data use and accessJob Qualifications and Requirements:Knowledge and Experience:Minimum 5 years of experience in:Data scienceMachine learningAdvanced analyticsPreferably within economic, financial, or public policy sectorsProven ability to develop predictive models and deliver actionable insightsEducation:Bachelor’s degree in:Data scienceComputer scienceStatisticsEconomics Or a related fieldCertifications (Preferred):Recognized certifications such as:Google Data AnalyticsIBM Data ScienceSASCAP (Certified Analytics Professional)

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.

Company DescriptionSince launching in Kuwait in 2004, talabat has become the region’s leading on-demand delivery app, serving millions of customers across eight countries. Our Quick Commerce (QC) Hub powers the grocery and convenience delivery experience — getting everyday essentials to customers’ doors in minutes, not hours.Behind every delivery is data. Our QC data team works at a scale most data scientists only read about: millions of daily transactions, thousands of partners, and decisions that directly shape how people across the Middle East get their groceries delivered. We’re building an analytics-first culture where every product and business decision is grounded in evidence.Your mission: ship the AI and ML systems that power talabat's intelligence. You're AI-native by default. You use Claude, Cursor, and equivalent tools as core leverage in how you architect and deploy. This is not a research role; we measure success in business outcomes and production reliability.You own a domain end to end — from problem framing through data pipelines, model training, deployment, and monitoring in production. You work closely with product and business teams, and you mentor other data scientists in their growth.Responsibilities:Frame ambiguous business problems as well-defined ML problems with clear success criteria.Design, build, and ship end-to-end ML and generative AI systems in production. You handle data pipelines, feature engineering, model training, serving, and monitoring without handoffs.Architect robust ML-based systems. Write clean, scalable production code. Train, deploy, and maintain reliable models.Leverage LLMs and generative AI for data enrichment, content understanding, and automated decision-making within production systems.Design and analyse experiments rigorously (A/B and multivariate tests) to measure model and product impact.Develop deep familiarity with source data and its generating systems through collaboration with engineering teams and systematic profiling.Provide high-quality insights and data-driven recommendations to drive strategic organisational choices.Mentor other data scientists. Elevate engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training.What we're looking for:3+ years shipping production ML systems (generative AI, recommendation engines, or ML infrastructure). Demonstrated velocity and ownership.Strong software engineering fundamentals: clean code, solid grasp of data structures, and system design (both general and ML-specific).Hands-on with the ML lifecycle: problem formulation, data auditing, modelling, deployment, interpretation, presentation.Proficiency in Python and SQL. Comfort with reproducible analysis and experimentation (A/B and multivariate analysis). Solid statistical thinking.Experience building data and training pipelines (Airflow or equivalent). Strong feature engineering and data modelling skills.Production ML systems experience: building, deploying, serving, monitoring. You understand MLOps practices.Familiarity with product data (events, impressions, conversions, engagement, retention). You know how to measure product health.Experience with LLMs and NLP-based solutions for data enrichment and automation is a plus.BigQuery or equivalent cloud data warehouse experience is a plus. GCP familiarity is a plus but not required.

About talabatSince 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 Description:As 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 Staff Data Scientist (AI & ML) on the global AI hub, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers.You will own the full ML lifecycle — from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.Responsibilities:Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.Mentoring other data scientists in their growth journeys.Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.Qualifications:Technical Experience:Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.Excellent SQL and competence with reproducible analysis and modeling in Python.Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.Familiarity with data modeling and dimensional design.Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.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.General Experience:Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.7+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.Experience building ML systems in an online consumer product setting is a plus.A good problem solver with a 'figure it out' growth mindset.An excellent collaborator.An excellent communicator.A strong sense of ownership and accountability.A 'keep it simple' approach to #makeithappen.

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.Modeling: 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. Pay range and compensation package[Pay range or salary or compensation]Equal Opportunity Statement[Include a statement on commitment to diversity and inclusivity.]

Senior Fraud Data Scientist10+ Years Dubai UAE Banking or top-tier banking experience1.Work Experience (all are mandatory)Past experience in using SAS SFDBuilding fraud detection models using Machine Learning (ML)Model management and MLOPs2.Domain Knowledge: Fraud analytics for credit cards3.Key Technical Skills: SAS SFDPython & SQLMachine LearningCommunication skills: Must be strong enough to manage stakeholder requirementsPhD candidates will be preferred by clientRole PurposeThe Senior Data Scientist will lead the development, optimization, and deployment ofadvanced card fraud detection models for issuing and acquiring businesses. This roleinvolves end-to-end model lifecycle management, including training, hosting, evaluation,and deployment using SAS SFD and modern MLOps practices. The candidate will workclosely with fraud risk, data engineering, and technology teams to ensure robust,scalable, and high-performing solutions.Key Responsibilities● Card Fraud Model Development & Optimization: Design, develop, and optimize cardfraud detection models for issuing and acquiring portfolios. Implement advancedstatistical, machine learning, and AI techniques to improve fraud detection accuracyand precision and minimizing false positives.● Model Hosting & Deployment: Deploy models using SAS SFD and integrate withproduction systems. Ensure seamless hosting and scalability of models acrossmultiple environments.● MLOps & Automation: Establish and maintain MLOps pipelines for continuousintegration, deployment, and monitoring of fraud models. Automate model retrainingand performance tracking processes.● Evaluation & Testing: Conduct rigorous model validation, stress testing, andperformance benchmarking. Collaborate with fraud operations teams to ensuremodels meet business and regulatory requirements.● Collaboration & Stakeholder Management: Partner with fraud risk, data engineers, ITand business teams to deliver end-to-end solutions. Communicate insights andrecommendations to senior management and business stakeholders.Required Skills & Qualifications● Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, orrelated field.● Technical Skills: Strong proficiency in SAS (including SAS SFD), Python, and SQL.Experience with machine learning frameworks (e.g., TensorFlow, PyTorch,Scikit-learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniquesand transaction data.● Experience: 10+ years in data science roles, with at least 3 years in card fraudmodeling. Proven track record of deploying models in production environments.● Soft Skills: Strong analytical and problem-solving skills. Excellent communicationand stakeholder management abilities.Preferred Qualifications● Experience in banking or payments industry.● Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting anddeployment.● Knowledge of regulatory compliance in fraud risk management.

Senior Data ScientistMy client is looking for a Senior Data Scientist to join an innovative Product team focused on developing AI-powered products and transforming cutting-edge research into real-world business solutions. You'll design and build scalable end-to-end data science pipelines, extract insights from structured and unstructured datasets, and develop robust machine learning solutions for production environments.You'll evaluate and optimise AI models, monitor performance, benchmark outputs, and contribute to high-quality, secure, and scalable analytics applications. Working closely with data scientists, NLP specialists, and engineers, you'll help shape the next generation of AI products while supporting best practices across the team.The ideal candidate has 4+ years of experience in Data Science, Machine Learning or AI, strong Python skills, and hands-on experience with pandas, NumPy, scikit-learn, spaCy, LangChain, Transformers, SQL, FastAPI and Git. Experience with MLOps/LLMOps, vector databases, semantic search, Azure, Docker, Kubernetes, PySpark and cloud-based data platforms is highly desirable. A Master's degree is required, while a PhD and experience deploying deep learning models are advantageous.Please let me know if this would be of interest.

Hi All,We are seeking a highly skilled Data Scientist with strong expertise in Machine Learning, Generative AI, and Large Language Models (LLMs) to design, develop, and deploy advanced AI-driven solutions. The ideal candidate should have hands-on experience in building scalable ML models and GenAI applications for enterprise use cases.Key ResponsibilitiesDesign, build, and deploy machine learning models for business problemsDevelop and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, etc.)Build and optimize RAG (Retrieval-Augmented Generation) pipelinesWork on prompt engineering, fine-tuning, and model optimizationDevelop AI agents and automation workflows using frameworks like LangChain / LangGraphPerform data preprocessing, feature engineering, and model evaluationCollaborate with cross-functional teams to translate business needs into AI solutionsDeploy models into production using cloud platforms and APIsMonitor, evaluate, and improve model performanceKey Skills Required✅ Core SkillsStrong knowledge of Machine Learning & Deep LearningExpertise in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)Hands-on experience with LLMs and Generative AI✅ GenAI & LLM SkillsExperience with OpenAI, Hugging Face, or similar ecosystemsStrong understanding of RAG architectures, embeddings, vector databasesExperience in prompt engineering and LLM fine-tuningExposure to Agentic AI frameworks (LangChain, LangGraph)✅ Data & EngineeringExperience with SQL, ETL pipelines, and data processingKnowledge of Databricks / Spark (preferred)Familiarity with vector databases (FAISS, Pinecone, ChromaDB)✅ Cloud & DeploymentExperience with Azure / AWS / GCPKnowledge of ML deployment (APIs, Docker, CI/CD)Only Immediate joiner shares their profiles on priya.singh@atain.com

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 Staff 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.7+ 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.An excellent communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen.

Data ScientistLocation: Abu Dhabi, UAE Full-timeExp.: 7-8+ Yrs.Key Skills: Generative AI, Regression, Modeling, LLM(Revenue management exp. is preferred)Role OverviewWe are seeking a highly skilled Data Scientist with strong expertise in Machine Learning and AI, along with experience in the airline or aviation domain. The ideal candidate will drive data-driven innovation, build scalable AI solutions, and enhance customer and operational experiences within the travel ecosystem.Key ResponsibilitiesDesign, develop, and deploy Machine Learning and AI models to solve business problems in the airline domain (e.g., pricing, demand forecasting, customer experience, operations).Build and implement advanced analytics solutions using NLP, deep learning, and Generative AI techniques.Develop AI-powered applications such as chatbots, recommendation systems, and intelligent automation tools.Work with large-scale structured and unstructured datasets to extract actionable insights.Collaborate with cross-functional teams including business, engineering, and product teams to deliver impactful solutions.Deploy scalable solutions using cloud platforms (AWS/GCP/Azure) and modern frameworks.Monitor model performance and continuously improve accuracy and efficiency.Required Skills & QualificationsStrong experience in Machine Learning, Deep Learning, and AI techniques.Hands-on experience with NLP, LLMs, and/or Generative AI (RAG, chatbots, etc.).Proficiency in Python, SQL, and data processing tools (e.g., PySpark).Experience with cloud platforms such as AWS, GCP, or Azure.Knowledge of model deployment frameworks (FastAPI, Flask, Docker).Experience working in the airline/travel domain (pricing, operations, customer analytics, etc.) is highly preferred.Strong problem-solving skills and ability to translate business problems into analytical solutions.Preferred QualificationsExperience with real-time data processing and AI-driven automation.Familiarity with tools like LangChain, Snowflake, or similar modern data platforms.Prior experience working in global or cross-functional teams.It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

Job Purpose As a Data Scientist, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle—from data acquisition and feature engineering to model development and deployment—collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions.Job DescriptionKey ResponsibilitiesDevelop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases.Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness.Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance.Identify valuable data sources and automate data collection and preparation processes where possible.Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace.Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions into trials and general availability.Key SkillsStrong foundation in the theory and applied practice of machine learning and deep learning. Experience developing pipelines for structured and unstructured data.Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn.Proficiency in Python, with working knowledge of Java or R.Experience developing and exposing models through RESTful APIs and containerized deployments using Docker.Strong coding practices, including appropriate use of data structures and clean, maintainable code.Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim. Familiarity with SQL, Pandas, Apache Spark, and data processing at scale.Experience using ML lifecycle tools such as MLflow.Strong analytical thinking, communication skills, and the ability to present technical concepts clearly to internal and external stakeholders.Ability to work collaboratively across multidisciplinary teams.Qualifications and ExperiencePreferred Educational Qualifications and Professional CertificationsBachelor’s degree in Artificial Intelligence, Data Science, Business Analytics, Computer Science, Mathematics, Engineering, or a related field is preferred. Relevant professional certifications are an advantage.ExperienceMinimum 4–6 years of professional experience in data science or applied machine learning roles.Desirable SkillsExperience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git-based workflows. Domain experience with education or finance datasets is an advantage.

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 RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding 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

ResponsibilitiesWork with large and complex data sets to solve challenging business problemsCollect, clean, and preprocess large datasets for analysis & model trainingPerform exploratory data analysis (EDA) to uncover insights and inform model developmentDevelop, train, and optimize machine learning models using state-of-the-art algorithms and frameworksBuild end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deploymentAutomate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps toolsCollaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutionsQualification5+ years of experience in data science, machine learning, or AIExpertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).Strong proficiency in Python and/or R; familiarity with SQL for data queryingAbility to build data pipelines (Spark, Airflow, Hadoop) and work with big data toolsUnderstanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps)Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

About the CompanyCareem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.About The TeamThe Personalization team sits within Careem's Data Science organization and owns the AI systems that decide what every user sees, in what order, and why across Food, Quik, and Shops. Our mission is to build the hyper-personalization layer for the Careem app: real-time, cross-vertical recommendation and ranking systems that learn from a user's behavior in one vertical and apply that understanding everywhere else they engage with Careem. As one of the senior technical leads on this team, you'll help define how Careem thinks about personalization at a regional scale working alongside the region's top data science talent, and pushing the state of the art using graph-based retrieval, transformer architectures, and real-time learning.What You'll DoDrive real-time, cross-vertical personalization: Own hyper-personalization use cases across Food, Quik, and Shops designing systems that learn a user's intent and preferences in real time and transfer that signal across verticals, so a user's behavior on one product makes every other product smarter.Advance graph-based retrieval: Be a technical lead on Careem's exploration of graph-based retrieval methods for recommendations including evaluating and building knowledge graph pipelines that power candidate generation and ranking at scale.Build next-generation ranking models: Design and evaluate transformer-based architectures (XFY) for sequential and contextual recommendation moving Careem's ranking and retrieval stack beyond classical ML toward deep, attention-based models.Pioneer real-time learning: Push toward online/streaming learning systems that adapt to user behavior within a session, not just from batch-trained models refreshed on a daily cadence.Build for cross-learning: Identify where personalization signals, models, or infrastructure can be shared across Food, Quik, and Shops rather than rebuilt per vertical reducing duplicate work and compounding the value of every experiment.Be part of a 0-to-1 AI transformation for the Careem app from a personalization standpoint shaping how generative AI and LLM-based systems augment retrieval and ranking.Build a long-term vision for how Careem rethinks customer acquisition and engagement strategies, grounded in data-driven decision-making.Drive exploratory analysis to understand user behavior across verticals, identifying new levers to move metrics and building behavioral models that inform product enhancements.Shape and influence the ML models and instrumentation that optimize the product experience, surfacing new areas of opportunity and new product directions.Provide product leadership through data-driven recommendations communicating the state of the business, root-causing metric movements, and using experimentation results to influence product and business decisions.Implement scalable machine learning algorithms that run in production on large-scale data.Run exploratory data analysis to better understand user and business phenomena, and to discover untapped areas of growth and optimization.Answer complex analytical questions from large datasets to help shape Careem's products and services.Define and track key metrics for specific personalization initiatives.Design and run randomized controlled experiments (A/B tests), analyze results, and communicate findings to cross-functional teams.Continually challenge the status quo investigating new data processing technologies, retrieval architectures, and learning paradigms, and ensuring the team operates at industry-leading standards.Build and deploy retrieval-augmented generation (RAG) systems and other applications of large language models within the personalization stack.What You'll Need6-8 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies, including transformation and cleaning of structured and unstructured data.Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science.Solid experience with deep learning techniques including attention mechanisms, retrieval models, and transformer-based architectures (XFY or similar) applied to ranking or recommendation problems. Working with or evaluating knowledge graphs, graph neural networks, or graph-based retrieval systems is a strong plus. Careem is actively building toward graph-based retrieval for recommendations.2-4 years of industry experience in personalization, recommendation, or search is a MUST. Preferably gained in a product-driven company operating at scale.Strong problem-solving and coding skills.Solid knowledge of A/B testing methodology, classical ML, and deep learning.Solid understanding of recommendations, ranking, and retrieval systems end-to-end.Familiarity with or interest in online/streaming learning systems models that adapt within a session rather than relying solely on batch retraining, is a strong plus.Proficiency and demonstrated experience in Python, SQL, Spark, and Hive.Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik); geospatial data processing skills are a plus.What We'll Provide YouWe offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:Work and learn from great minds by joining a community of inspiring colleagues.Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.Explore new opportunities to learn and grow every day.Work remotely from any country in the world for 30 days a year with unlimited vacation days per year. Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

Job DescriptionOverview:Responsibilities:Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil & gas industry.Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.Qualifications:Requirements – ExperienceAt least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.Demonstrated experience designing and implementing agentic AI systems—task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.Experience in Geoscience applications to the Oil & Gassector is a plus.Requirements – Key SkillsStrong foundation in applied mathematics and statistics.Proficiency in machine learning and deep learning techniques.Advanced Python programming skills for AI development.Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.Excellent communication skills for conveying technical concepts effectively.Educational RequirementsMaster’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.

Hyderabad, India / Dubai, UAEFull-timeApply to JobAbout The RoleWe are looking for a highly motivated Machine Learning Engineer / Data Scientist to join our dynamic team. In this mid-level role, you will leverage your expertise in data science and machine learning to design, build, and deploy innovative models and solutions that address real-world challenges.You will collaborate with cross-functional teams, including data engineers, product managers, and software developers, to turn complex datasets into actionable insights and build machine learning solutions that drive business value. This is a fantastic opportunity to work on impactful projects, expand your skill set, and contribute to cutting-edge advancements in AI and data science.Key ResponsibilitiesModel Development: Design, train, and evaluate machine learning models to solve business problems such as classification, regression, clustering, and recommendation.Data Preparation: Work with large and complex datasets, performing data cleaning, preprocessing, and feature engineering to optimize model performance.Model Deployment: Deploy machine learning models into production environments, ensuring scalability and robustness.Algorithm Selection: Research and implement state-of-the-art algorithms and methodologies to enhance model accuracy and efficiency.Collaboration: Collaborate with data engineering teams to build data pipelines and ensure efficient data flow for machine learning workflows.Visualization and Reporting: Create clear and actionable visualizations and reports to communicate findings and results to stakeholders.Monitoring and Maintenance: Monitor model performance in production, address drift or bias issues, and optimize models as needed.Tool Development: Build tools and frameworks to enable rapid experimentation and iteration of machine learning models.Documentation: Maintain comprehensive documentation for models, experiments, and processes.QualificationsEducation:Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent experience).Technical SkillsStrong programming skills in Python, R, or similar languages.Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.Proficiency in data manipulation and analysis using tools like Pandas, NumPy, and SQL.Experience with big data technologies such as Spark, Hadoop, or similar.Knowledge of cloud platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML).Familiarity with MLOps practices and tools for CI/CD in machine learning workflows.Understanding of data visualization tools like Matplotlib, Seaborn, or Tableau.Strong grasp of statistical methods, probability, and optimization techniques.Experience3–5 years of experience in machine learning, data science, or a related field.Proven experience building and deploying machine learning models in production.Experience with natural language processing (NLP), computer vision, or time-series analysis is a plus.Soft SkillsStrong problem-solving and analytical thinking abilities.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Ability to work independently and collaboratively within a team.Curiosity and eagerness to stay updated on the latest advancements in machine learning and AI.About The CompanyDatamaze is a dynamic company specializing in AI, Data, and Analytics consulting services. We are dedicated to transforming businesses by leveraging the power of data and artificial intelligence. With a team of industry experts in technology, business strategy, and data science, Datamaze offers a range of services including data strategy development, AI model creation, advanced analytics, and data visualization. Our approach is client-centric, focusing on creating customized solutions that address unique business challenges and objectives. The team, comprising data scientists, AI experts, strategists, and engineers, is committed to continuous learning and innovation.Datamaze positions itself as a trusted partner for businesses looking to navigate the complex data and AI landscape, aiming to optimize operations, inform decision-making, and maintain a competitive edge.Apply Now

Job DescriptionAn 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 Junior AI Engineer / Data Scientist Role 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 ForExperience0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fieldsHands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software developmentExposure to real-world business applications of AI, machine learning, analytics, or automation is preferredTechnical SkillsStrong proficiency in Python and SQL (mandatory)Solid understanding of data analysis, statistics, and machine learning fundamentalsFamiliarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)Experience working with APIs, structured and unstructured data sourcesUnderstanding of LLMs, AI agents, prompt engineering, and API-based AI workflowsBasic familiarity with cloud platforms (AWS preferred), including storage and compute servicesUnderstanding of data ingestion, ETL processes, and pipeline designKnowledge of data visualization and reporting tools is an advantageCore CompetenciesStrong analytical and problem-solving mindsetAbility to translate ambiguous business requirements into practical solutionsHigh attention to detail and commitment to data accuracyPragmatic approach to building scalable and maintainable solutionsStrong communication skills with both technical and non-technical stakeholdersCuriosity, adaptability, and eagerness to learn emerging AI technologiesWhat Makes This Role UniqueOpportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guestsExposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analyticsHigh ownership and visibility from the beginning of your careerStrong mentorship and accelerated learning environmentDirect impact on business performance, guest experience, and operational efficiencyPerformance KPIsSuccessful delivery of AI and data projectsAccuracy and reliability of data pipelines and modelsImprovement in automation and operational efficiencyQuality and performance of AI assistants and applicationsAdoption and business impact of deployed solutionsKey ResponsibilitiesAI & Data ApplicationsBuild and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud servicesDevelop AI-powered tools and assistants that improve operational efficiency and guest experiencesSupport the design and deployment of conversational AI solutions across web and messaging platformsCollaborate with business teams to identify opportunities for AI-driven automationData Engineering & PipelinesBuild, maintain, and optimize data pipelines for machine learning, analytics, and reportingCollect, clean, transform, and structure data from multiple internal and external sourcesEnsure data quality, consistency, and reliability across systemsSupport integration of APIs, cloud storage, and business platformsMachine Learning & Model EvaluationDevelop and test machine learning models for forecasting, personalization, and business optimizationEvaluate model performance using appropriate metrics, validation frameworks, and monitoring processesAssist in feature engineering, model tuning, and performance analysisMonitor deployed models and identify opportunities for continuous improvementBusiness Problem SolvingWork closely with stakeholders across reservations, marketing, revenue, and operations teamsTranslate business requirements into practical AI and data solutionsAnalyse complex datasets to uncover actionable insights and recommendationsSupport decision-making through data-driven analysis and reportingDocumentation & Continuous ImprovementWrite clean, maintainable, and reusable code following best practicesDocument technical processes, models, and system architecturesStay updated with emerging AI technologies, tools, and industry trendsContribute to the continuous improvement of data and AI capabilities across the organizationThe 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 Organizations, 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.comAbout FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.comJob DetailsRole Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.fivehotelsandresorts.com/ Job Function: Data Science & AI Company Industry/Sector: OtherWhat We OfferAbout The CompanySearching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.ReportDisclaimer: talentmate.com is only a platform to bring jobseekers & employers together. 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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 Junior AI Engineer / Data Scientist Role 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 ForExperience0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fieldsHands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software developmentExposure to real-world business applications of AI, machine learning, analytics, or automation is preferredTechnical SkillsStrong proficiency in Python and SQL (mandatory)Solid understanding of data analysis, statistics, and machine learning fundamentalsFamiliarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy)Experience working with APIs, structured and unstructured data sourcesUnderstanding of LLMs, AI agents, prompt engineering, and API-based AI workflowsBasic familiarity with cloud platforms (AWS preferred), including storage and compute servicesUnderstanding of data ingestion, ETL processes, and pipeline designKnowledge of data visualization and reporting tools is an advantageCore Competencies Strong analytical and problem-solving mindsetAbility to translate ambiguous business requirements into practical solutionsHigh attention to detail and commitment to data accuracyPragmatic approach to building scalable and maintainable solutions Strong communication skills with both technical and non-technical stakeholders Curiosity, adaptability, and eagerness to learn emerging AI technologiesWhat Makes This Role UniqueOpportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guestsExposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analyticsHigh ownership and visibility from the beginning of your careerStrong mentorship and accelerated learning environmentDirect impact on business performance, guest experience, and operational efficiencyPerformance KPIs Successful delivery of AI and data projects Accuracy and reliability of data pipelines and modelsImprovement in automation and operational efficiencyQuality and performance of AI assistants and applications Adoption and business impact of deployed solutionsKey ResponsibilitiesAI & Data Applications Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services Develop AI-powered tools and assistants that improve operational efficiency and guest experiencesSupport the design and deployment of conversational AI solutions across web and messaging platformsCollaborate with business teams to identify opportunities for AI-driven automationData Engineering & PipelinesBuild, maintain, and optimize data pipelines for machine learning, analytics, and reporting Collect, clean, transform, and structure data from multiple internal and external sourcesEnsure data quality, consistency, and reliability across systemsSupport integration of APIs, cloud storage, and business platformsMachine Learning & Model EvaluationDevelop and test machine learning models for forecasting, personalization, and business optimization Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processesAssist in feature engineering, model tuning, and performance analysis Monitor deployed models and identify opportunities for continuous improvementBusiness Problem SolvingWork closely with stakeholders across reservations, marketing, revenue, and operations teamsTranslate business requirements into practical AI and data solutionsAnalyse complex datasets to uncover actionable insights and recommendations Support decision-making through data-driven analysis and reportingDocumentation & Continuous Improvement Write clean, maintainable, and reusable code following best practicesDocument technical processes, models, and system architecturesStay updated with emerging AI technologies, tools, and industry trendsContribute to the continuous improvement of data and AI capabilities across the organizationThe 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 Organizations, 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.comAbout FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.com