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

Excellent opportunity opens to join a major UK bank as their new Senior Data Scientist. You will play a leading role in the execution of the Bank's data science strategy, and work to roll out and deliver the bank-wide data and AI roadmap. Take ownership of the full data science life cycle to continuously improve data science and machine learning solutions.

Key Responsibilities

• Developing, testing, deploying, and maintaining machine learning and statistical models in production environments.
• Building scalable data science solutions using Python and SQL.
• Applying software engineering best practices, including version control (Git), code reviews, testing, and documentation.
• Using MLOps practices to support model deployment, monitoring, governance, and continuous improvement.
• Working with large and complex datasets
• 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.
• Contribute to backlog refinement and sprint planning, stand-ups and retrospectives
• 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

• Strong practical knowledge of statistics, mathematics, and machine learning techniques, with experience developing, validating, deploying, and monitoring predictive and analytical models in production environments.
• 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.
• 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.
• Strong communication skills, with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences.
• Experience working with modern data platforms, software engineering best practices, and data science tooling to develop scalable and maintainable analytical solutions.
• Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or other emerging AI technologies is advantageous.