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senior data engineer Jobs in Charge Jobs In Dubai

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associate principal engineer data scientist gen ai ml

Nagarro

<div>
 
 Company Description
 
 
 
 In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed.
 
 
 The nature of IT &amp; digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology &amp; business are heading. Thinking breakthroughs gets us there.
 
 
 Nagarro - https://www.nagarro.com/en
 
 
 
 Job Description
 
 
 
 
 Must have Skills : Generative AI Fundamentals (Strong), Technology Architect - Generative AI, LLM Application Frameworks (Strong), LLM Fine Tuning and Deployment (Strong), Prompt Engineering with LLMs (Strong)
 
 
 
 
 
 Job Description
 
 
 
 
 Data Scientist is expected design, develop, implement scalable ML, GenAI and Agentic AI solutions align with business goals, lead team and ensure code/delivery quality.
 
 
 Key responsibilities include create integration architectures, define standards that matches emerging GenAI trends to drive innovation, efficiency and competitive advantage, integrate AI/LLM Models into Applications/APIs, optimize workflows with GenAI tools, leading technical discussions and mentoring junior team members.
 
 
 The role also requires experience with backend development, APIs including RAG APIs, Vector databases, cloud platform, production grade solutions code quality &amp; security.
 
 
 
 Regular duties:
 
 
 
 <ul>
 <li>
 Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
 </li>
 <li>
 Work on integrating cloud with AI algorithms and On premises AI algorithms.
 </li>
 <li>
 Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
 </li>
 <li>
 Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.
 </li>
 <li>
 Optimize existing AI models for improved performance, scalability, and efficiency.
 </li>
 <li>
 Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
 </li>
 <li>
 Drive the team to build AI products and solutions, working in an agile methodology
 </li>
 <li>
 Manage delivery across pods building scalable AI and API services
 </li>
 <li>
 Run standups, sprints, retrospectives, and Jira workflows
 </li>
 <li>
 Drive backend deployment, security reviews, and QA pipelines
 </li>
 <li>
 Coordinate integration of RAG APIs and vector DB pipelines
 </li>
 <li>
 Promote use of code quality agents and modern CI/CD practices
 </li>
 <li>
 Collaborate with the Product Manager/Architect to define deliverables and technical strategy.
 </li>
 <li>
 Drive the integration of AI/ML capabilities into products using market trending libraries.
 </li>
 <li>
 Guide teams through refactoring and codebase optimization using AI-assisted insights.
 </li>
 <li>
 Troubleshoot and resolve issues related to AI models and implementations.
 </li>
 <li>
 Create and maintain documentation for AI models and their applications.
 </li>
 <li>
 Communicate complex technical concepts and findings to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 
 Skills And Qualifications
 
 
 
 
 <ul>
 <li>
 A masters/ bachelor degree in computer science engineering
 </li>
 <li>
 10 to 12 years experience in IT Industry and up to 3 years experience in GenAI, Agentic AI Solutioning and Implementation
 </li>
 <li>
 Minimum 2 Year experience in Datarobot for architecting and building GenAI Solutions RAG Agents and Deployment
 </li>
 <li>
 Mentor-first mindset, delivery-driven, team player, excellent communicator
 </li>
 <li>
 Access control, deployment integrity, secure endpoints, compliance awareness
 </li>
 <li>
 Cloud GenAI Solutions Design, Development and Deployment
 </li>
 <li>
 On-Premises GenAI Solutions Design, Development and Deployment
 </li>
 </ul>
</div>

Associate Principal Engineer (Data Scientist - Gen AI, ML)

Searchability®

<div>
 
 
 🖥️ Data Scientist 🖥️
 
 
 
 
 
 
 📍Based in
 
 Dubai!
 
 📍
 
 
 
 
 
 *Please note - the opportunity is only open to those who already reside in
 
 Dubai*
 
 
 
 
 
 
 
 
 
 💰 Salary on offer is between Dh 15,000-20,000 p/m 💰
 
 
 
 
 
 
 
 
 Searchability MENA is partnered with a leading
 
 FinTech
 
 organization, shaping the future of financial services through AI, ML, and advanced analytics.
 
 
 
 
 
 **Prior experience in delivering ML-driven analytics across lending, cards, customer lifecycle, and risk domains within FinTech or financial services is highly valued**
 
 
 
 
 
 Passionate about building ML models? - then look no further!
 
 
 
 
 
 Be part of a high-impact
 
 FinTech
 
 analytics team, deploying ML models and data products that directly drive growth, manage risk, and enhance customer experience.
 
 
 
 
 
 
 👀Here's what they're looking for: 👀
 
 
 
 
 
 <ul>
 <li>
 
 3+ years&rsquo;
 
 experience in Data Science.
 </li>
 <li>
 Python, R, and SQL.
 </li>
 <li>
 
 Machine Learning, statistical modelling, predictive &amp; prescriptive analytics.
 
 </li>
 <li>
 Experience in deploying end-to-end
 
 AI/ML models.
 
 </li>
 <li>
 Experience in a fast-paced/dynamic environment
 </li>
 <li>
 Cloud platforms, including AWS, Azure, and GCP, with big data experience.
 </li>
 <li>
 Experience in banking and financial services, spanning cards, lending, SME, digital channels, and risk.
 </li>
 <li>
 Ability to translate complex analytics into clear business recommendations.
 </li>
 </ul>
 
 
 
 
 
 🙌🏼 The benefits: 🙌🏼
 
 
 
 
 
 <ul>
 <li>
 Family Visa Sponsorship and Medical Cover
 </li>
 <li>
 Annual Flight Ticket
 </li>
 </ul>
 
 
 
 
 👆 Does this sound exactly like what you're looking for?
 
 
 Hit apply today, and we can discuss further 👆
 
 
 
 
 
 **Please note: Only suitable candidates will be contacted for this position.**
 
</div>

Data Scientist

ClearGrid

<div>
 
 About ClearGrid
 
 
 
 ClearGrid is on a mission to
 
 revolutionize the debt resolution industry
 
 . We&rsquo;re using
 
 AI, automation, and real-time data
 
 to completely rethink how debt collection works, unlocking better outcomes for institutions and individuals alike. Think of us as rebuilding the collections &mdash;starting from scratch, with modern tools.
 
 
 We're a fast-growing startup with ambitious goals, and we&rsquo;re looking for builders who are hungry to make a real dent in a space with massive untapped potential.
 
 
 We&rsquo;re looking for a
 
 Head of Data Science &amp; Intelligence
 
 - a technical leader who can turn our massive data ecosystem into predictive systems that power everything from customer behavior modeling to portfolio valuation and NPL purchase strategy. This isn&rsquo;t about dashboards. It&rsquo;s about building the
 
 brains
 
 of a $500B+ AI-driven financial platform.
 
 
 
 Your Mission
 
 
 
 You&rsquo;ll architect, build, and deploy the models and data systems that make ClearGrid self-learning. From repayment probability to portfolio pricing, from conversation intelligence to cashflow forecasting &mdash; your models will be the decision engine behind how capital moves through the ecosystem.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect and build predictive models across the stack &mdash; customer segmentation, PTP likelihood, loss-given-default, recovery rate prediction, and portfolio valuation.
 </li>
 <li>
 Operationalize ML pipelines using Python, SQL, and MLOps frameworks (Airflow, dbt, TensorFlow, PyTorch, or equivalent).
 </li>
 <li>
 Design feature stores and data schemas that enable real-time intelligence for AI voice agents, dashboards, and risk engines.
 </li>
 <li>
 Build and fine-tune models for securitization and NPL pricing, integrating macroeconomic variables, borrower behavior, and cashflow projections.
 </li>
 <li>
 Integrate AI/ML into business operations &mdash; connecting model outputs directly into CRM, call orchestration, and workflow automation.
 </li>
 <li>
 Collaborate with AI engineers to align model input/output structures with LLM systems and conversation intelligence modules.
 </li>
 <li>
 Own the full model lifecycle &mdash; data prep, model design, validation, deployment, monitoring, and retraining based on human-AI feedback loops.
 </li>
 <li>
 Develop behavioral segmentation frameworks that dynamically group borrowers by risk, responsiveness, and emotional tone to optimize multi-channel strategy.
 </li>
 <li>
 Create financial intelligence systems for loan book pricing, debt sale structuring, and securitization analytics &mdash; bridging data science with finance.
 </li>
 <li>
 Mentor analysts and data engineers, establishing coding standards, version control, model documentation, and review processes.
 
 
 </li>
 </ul>
 
 What You Need
 
 
 
 <ul>
 <li>
 6&ndash;10+ years in data science or quantitative modeling, ideally in fintech, credit, or analytics-heavy startups.
 </li>
 <li>
 Expert in Python, SQL, and statistical modeling &mdash; you code, experiment, and debug at production level.
 </li>
 <li>
 Deep understanding of machine learning, probabilistic modeling, NLP, and predictive analytics.
 </li>
 <li>
 Experience deploying ML models to production (e.g. MLflow, Vertex AI, SageMaker, or custom pipelines).
 </li>
 <li>
 Familiarity with financial modeling and credit analytics, including portfolio risk, pricing, and securitization concepts.
 </li>
 <li>
 Hands-on with modern data architecture &mdash; warehouses (BigQuery, Snowflake), orchestration (Airflow, Prefect), and data versioning (dbt, Git).
 </li>
 <li>
 Proven ability to transform raw, messy data into structured insights and usable systems.
 </li>
 <li>
 Experience building and managing data feedback loops between human agents, AI models, and product decisions.
 </li>
 <li>
 Comfort designing end-to-end data systems that serve both predictive modeling and operational analytics.
 </li>
 <li>
 Bonus: exposure to LLM integration, embeddings, and model alignment methods.
 
 
 </li>
 </ul>
 
 You&rsquo;ll Thrive If You Are
 
 
 
 <ul>
 <li>
 A builder-scientist hybrid &mdash; you think like a researcher but deliver like an engineer.
 </li>
 <li>
 Obsessed with systemic intelligence &mdash; you see how every datapoint connects to operations, behavior, and capital markets.
 </li>
 <li>
 Relentlessly curious and allergic to stagnation &mdash; if there&rsquo;s a better model, tool, or method, you&rsquo;ll find it.
 </li>
 <li>
 Fluent in both business logic and mathematical rigor &mdash; you can explain a model to a CFO and a neural net to an engineer.
 </li>
 <li>
 The rare ability to translate between business strategy and data systems &mdash; turning messy, cross-functional chaos into measurable advantage.
 
 
 </li>
 </ul>
 
 What You&rsquo;re Not
 
 
 
 <ul>
 <li>
 You&rsquo;re not a BI dashboard builder.
 </li>
 <li>
 You&rsquo;re not a report generator.
 </li>
 <li>
 You&rsquo;re not waiting for business teams to tell you what to analyze.
 
 
 </li>
 </ul>
 You&rsquo;re the person who
 
 tells the business what it needs to know
 
 &mdash; before anyone asks.
</div>

Head of Data Science

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Qualifications
 
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 4 to 6 years of experience is required,
 </li>
 <li>
 Strong record of
 
 production-grade ML/NLP projects
 
 .
 </li>
 <li>
 Experience leading
 
 small data science teams
 
 or research initiatives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Deep expertise in
 
 model architecture design
 
 ,
 
 feature stores
 
 , and
 
 model monitoring
 
 .
 </li>
 <li>
 Experience in
 
 ensemble blending
 
 ,
 
 A/B testing
 
 , and
 
 model explainability
 
 (SHAP, LIME).
 </li>
 <li>
 Builds and fine-tunes
 
 transformer-based models
 
 for custom tasks (summarization, Q&amp;A, document intelligence).
 </li>
 <li>
 Implements
 
 RAG (Retrieval-Augmented Generation)
 
 and
 
 embedding-based semantic search
 
 .
 </li>
 <li>
 Integrates
 
 vector databases
 
 (Pinecone, FAISS, Chroma).
 </li>
 <li>
 Uses
 
 LangChain or LlamaIndex
 
 for orchestration.
 </li>
 <li>
 Evaluates and optimizes
 
 prompt templates
 
 and
 
 context length efficiency
 
 .
 </li>
 <li>
 Designs
 
 data pipelines
 
 (Airflow, Spark, Dataiku).
 </li>
 <li>
 Deploys
 
 scalable APIs
 
 , manages
 
 CI/CD
 
 ,
 
 monitoring
 
 , and
 
 drift detection
 
 .
 </li>
 <li>
 Works closely with product and engineering teams to embed AI in production systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Leadership &amp; Soft Skills
 
 </li>
 <li>
 Leads small teams or workstreams.
 </li>
 <li>
 Ensures project quality, deadlines, and alignment with business KPIs.
 </li>
 <li>
 Coaches mid-level team members and contributes to talent development.
 </li>
 </ul>
</div>

Senior Data Scientist

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Salient Group

<div>
 
 
 AI / ML Engineer
 
 
 
 
 Dubai, UAE
 
 
 
 
 $220k-$250k + Equity
 
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 40+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an
 
 AI/ML Engineer
 
 , you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Machine Learning Engineer

Keystone AI

<div>
 
 About Keystone AI
 
 
 
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
 
 
 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
 
 
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 
 
 
 Economic, Technology, and Strategy Advisory (ETSA)
 
 
 
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 
 
 
 What We Do
 
 
 
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
 
 
 
 How We Operate
 
 
 
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
 
 
 
 Who We Serve
 
 
 
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 
 
 
 Our practice areas
 
 
 
 <ul>
 <li>
 Antitrust &amp; Competition
 </li>
 <li>
 Financial Economics, Tax, and Securities (FETS)
 </li>
 <li>
 Intellectual Property (IP)
 </li>
 <li>
 Information Strategy, Risk and Regulation (ISRR)
 </li>
 <li>
 Healthcare and Life Sciences
 </li>
 <li>
 Technical Investigations
 </li>
 <li>
 Behavioral Insights
 </li>
 <li>
 Strategy Consulting
 
 
 </li>
 </ul>
 
 Staff Data Scientist
 
 
 
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
 
 
 
 Role Expectations
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Lead the design and implementation of analytical solutions, from data architecture to model deployment
 </li>
 <li>
 Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
 </li>
 <li>
 Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
 </li>
 <li>
 Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
 </li>
 <li>
 Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
 </li>
 <li>
 Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
 </li>
 <li>
 Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
 </li>
 <li>
 Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
 </li>
 <li>
 At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
 </li>
 <li>
 Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
 </li>
 <li>
 Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
 </li>
 <li>
 Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
 </li>
 <li>
 Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
 </li>
 <li>
 A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
 
 
 </li>
 </ul>
 
 Why Keystone AI
 
 
 
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 
 
 <ul>
 <li>
 Work on frontier matters shaping the future of AI, data, and digital regulation
 </li>
 <li>
 Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
 </li>
 <li>
 Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
 </li>
 <li>
 Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
 
 
 </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 
 
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>

Staff Data Scientist

Explore 3228+ Associate principal engineer data scientist gen ai ml in Charge Jobs In Dubai this January. Find roles across top companies and apply now to boost your career.

3228 associate principal engineer data scientist gen ai ml jobs IN Charge Jobs In Dubai

Associate Principal Engineer (Data Scientist - Gen AI, ML)

Data Scientist

Head of Data Science

Senior Data Scientist

Data Scientist

Machine Learning Engineer

Staff Data Scientist