Data Scientist; Generative & Agentic AI | Marc Ellis | UAE

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Job Title:

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

🏢 Recruiting Company: Marc Ellis

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Job Location:

Abu Dhabi, United Arab Emirates

💼 Job Type: On‑site

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Contract:

6 Months (Extendable)

📧 Application Method: Send CVs to  and

🏦 Industry: Banking / Data & Artificial Intelligence

Marc 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.

As 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.

• Design, implement and optimise Agentic AI systems using multi‑agent techniques
• Build, train, validate and deploy ML models across various business domains
• Apply Generative AI techniques to structured and unstructured datasets
• Conduct advanced exploratory data analysis (EDA)
• Develop end‑to‑end data science workflows and reusable frameworks
• Collaborate with data engineers to create scalable AI/ML pipelines
• Manage full model lifecycle, including monitoring and performance tuning
• Ensure compliance with model governance, documentation and explainability requirements

• 3–6 years of experience in Data Science / Applied Analytics / Machine Learning
• Strong programming expertise in Python (Pandas, Num Py, Scikit‑learn, PyTorch, Tensor Flow, etc.)
• Experience working with SQL and large enterprise datasets
• Exposure to Generative AI, LLM‑based systems or Agentic AI architectures
• Familiarity with cloud platforms such as Azure, AWS or GCP
• Understanding of MLOps, CI/CD and model lifecycle management
• Strong analytical, problem‑solving and communication skills
• Banking or financial services experience (preferred but not mandatory)

• Experience with multi‑agent frameworks (e.g., Auto Gen, Lang Chain Agents)
• Background in enterprise AI governance and compliance
• Knowledge of vector databases and retrieval‑augmented generation (RAG)
• Experience with big data platforms (Databricks, Spark, Snowflake)
• Certifications in Machine Learning, AI or Cloud Engineering

Showcase 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.