Lead Data Scientist
- Abu Dhabi, United Arab Emirates
Posted yesterday
About the role
Lead Data Scientist – AI Lab | Fintech
Location: Abu Dhabi
My client is looking for a Lead Data Scientist to join a newly established AI Lab. This is a high-impact opportunity for a technically strong, hands-on Data Scientist who can take AI and machine learning solutions from concept through to production .
The ideal candidate will have a strong Computer Science / technical academic background and be a genuine full-stack Data Scientist- someone who can write production-ready code, build models, work across the engineering stack and deploy solutions independently, rather than relying on separate teams to operationalise their work.
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 is highly desirable.
- Banking, financial services or fintech experience would be advantageous.
What Will Differentiate You
My client is particularly interested in "full-stack" Data Scientists who are equally comfortable experimenting with models and engineering them into scalable production systems.
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.
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.
*** Only successful candidates will be contacted ***