Senior Data Scientist - ML Engineer - Python - GenAI - Banking

Senior Data Scientist - ML Engineer - Python - GenAI - Banking

Excellent opportunity opens to join an International Bank as their new Senior Data Scientist. You will take ownership of the Bank's data science strategy, and work with senior leadership to deliver the bank-wide data and AI roadmap.

Key Responsibilities

• Define and lead the data science strategy, feeding into the banks data and platform strategy.
• Leadership of data scientists within a cross functional team.
• Working with large and complex datasets to develop, test and deploy machine learning and AI models into production environments.
• Using MLOps practices to support model deployment, monitoring, governance, and continuous improvement.
• Evaluating emerging technologies and analytical techniques to identify opportunities for innovation and business value.
• Ensuring models and analytical solutions meet regulatory, governance, and risk management standards within a financial services environment.
• Reinforce Agile ways of working, using pair programming, DORA insights and best practices to help to foster an environment of continuous improvement within the team

Qualifications & Experience

• Advanced Python and SQL skills, with experience using tools such as Jupyter/JupyterHub to conduct data exploration, develop machine learning solutions, and support production workflows.
• Experience in leading and design of enterprise wide data science strategy within financial services or similarly regulated industry.
• Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or other emerging AI technologies.
• Experience working with modern data platforms, software engineering best practices, and data science tooling to develop scalable and maintainable analytical solutions.
• Strong communication skills, with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences.
• Strong practical knowledge of statistics, mathematics, and machine learning techniques, with experience developing, validating, deploying, and monitoring predictive and analytical models in production environments.
• Hands-on experience applying machine learning techniques using frameworks such as XGBoost, PyTorch, or similar technologies to solve complex business problems and deliver measurable value.
• Experience translating business requirements into actionable analytical solutions, working closely with stakeholders to identify opportunities, define approaches, and deliver data-driven outcomes.

Interested? Please Apply!

GenAI Engineer Machine Learning Engineer AI Engineer Data Engineer Python SQL AL Lead Head of Data Science Machine Learning Lead LLM Large Language Models Agentic AI RAG Retrieval-Augmented Generation