Data Scientist (Generative & Agentic AI) | Marc Ellis | Abu Dhabi, UAE

Job Title: Data Scientist (Generative & Agentic AI) – Marc Ellis – Abu Dhabi, UAERecruiting Company: Marc EllisJob Location: Abu Dhabi, United Arab EmiratesJob Type: On‑siteContract: 6 Months (Extendable)Application Method: Send CVs to raean.a@marc-ellis.com and cv@marc-ellis.comIndustry: Banking / Data & Artificial IntelligencePosition SummaryMarc Ellis is seeking a highly skilled Data Scientist with strong hands‑on experience in Generative AI, Agentic AI and advanced Machine Learning to support enterprise‑wide AI initiatives within a major banking environment. This role is central to designing scalable intelligent systems and enabling AI‑driven decision‑making across multiple business functions.Detailed Job DescriptionAs a Data Scientist specializing in Generative and Agentic AI, you will architect and deploy multi‑agent AI systems, develop complex machine learning models and apply advanced statistical methodologies to diverse datasets. You will collaborate closely with data engineering teams to build robust AI pipelines and drive end‑to‑end model lifecycle management—from training and validation to deployment, monitoring and optimization. The environment is fast‑paced and innovation‑driven, offering you the opportunity to directly influence AI strategy in a leading financial institution. Your ability to ensure model governance, documentation and explainability will be essential to meeting regulatory and enterprise standards.✅ Key ResponsibilitiesDesign, implement and optimise Agentic AI systems using multi‑agent techniquesBuild, train, validate and deploy ML models across various business domainsApply Generative AI techniques to structured and unstructured datasetsConduct advanced exploratory data analysis (EDA)Develop end‑to‑end data science workflows and reusable frameworksCollaborate with data engineers to create scalable AI/ML pipelinesManage full model lifecycle, including monitoring and performance tuningEnsure compliance with model governance, documentation and explainability requirementsRequired Qualifications & Skills3–6 years of experience in Data Science / Applied Analytics / Machine LearningStrong programming expertise in Python (Pandas, NumPy, Scikit‑learn, PyTorch, TensorFlow, etc.)Experience working with SQL and large enterprise datasetsExposure to Generative AI, LLM‑based systems or Agentic AI architecturesFamiliarity with cloud platforms such as Azure, AWS or GCPUnderstanding of MLOps, CI/CD and model lifecycle managementStrong analytical, problem‑solving and communication skillsBanking or financial services experience (preferred but not mandatory)✨ Nice‑to‑Have SkillsExperience with multi‑agent frameworks (e.g., AutoGen, LangChain Agents)Background in enterprise AI governance and complianceKnowledge of vector databases and retrieval‑augmented generation (RAG)Experience with big data platforms (Databricks, Spark, Snowflake)Certifications in Machine Learning, AI or Cloud EngineeringRecruitment Pro TipShowcase real, production‑grade AI projects—especially those involving Generative AI or multi‑agent workflows. Highlight measurable business outcomes, governance practices and your role in scaling models, as these are high‑value signals in enterprise financial environments.#J-18808-Ljbffr