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naukri

Lead Data Scientist AI Lab | Banking

Client of Salt
Abu Dhabi, UAE
Senior
Onsite
Discovered 4 weeks ago
PythonSQLMachine LearningAI EngineeringData ScienceGenAI
Free

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Overview

The employer seeks a Lead Data Scientist for a newly established AI Lab in a leading banking organization.

The role involves designing, developing, and deploying advanced AI and machine learning solutions across banking use cases.

The ideal candidate should have a strong technical background, be a full-stack Data Scientist, and have experience with Python, SQL, and modern ML/AI frameworks.

Key Responsibilities

  • Lead the design, development and deployment of advanced AI and machine learning solutions across banking use cases.
  • Own the full lifecycle from problem definition, data preparation and modelling through to deployment, monitoring and optimisation.
  • Develop production-grade solutions using Python, SQL and modern ML/AI frameworks.
  • Build and productionise GenAI, LLM, RAG, NLP and agentic AI solutions where relevant.
  • Work closely with Data Engineers, Software Engineers and Product teams to take AI solutions into production.
  • Develop robust ML pipelines, APIs, model-serving components and MLOps processes.
  • Establish best practices around model deployment, testing, monitoring, reproducibility and responsible AI.
  • Evaluate emerging AI technologies and identify opportunities to create tangible value for the bank.
  • Mentor Data Scientists and contribute to the technical direction of the new AI Lab.

Ideal Candidate

  • 8+ years experience in Data Science, Machine Learning, AI Engineering or a related technical field.
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Mathematics, Statistics, Engineering or another highly quantitative discipline.
  • Strong hands-on Python development skills and excellent SQL.
  • Proven track record of taking machine learning / AI models into production.
  • Strong understanding of software engineering principles including Git, APIs, testing, CI/CD and containerisation.
  • Experience with cloud platforms such as AWS, Azure or GCP.
  • Experience with modern ML/AI technologies such as PyTorch, TensorFlow, Hugging Face, LLMs, RAG, vector databases and agentic AI.
  • Banking, financial services or fintech experience.

What Will Differentiate You

  • The successful candidate will be a builder, technically autonomous, hands-on and capable of taking an AI solution from an initial idea all the way through to production.
  • Strong preference will be given to candidates with a rigorous Computer Science or technical background over candidates whose background is primarily business, commercial or MBA-focused.

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