Lead Data Scientist

You will act as the technical lead for a team of 4-5 Data Scientists, providing task direction, code and model oversight, and setting technical standards - without formal line management responsibility. The role remains hands-on, focused on the design, build, validation, and deployment of predictive and risk models within a regulated environment., * Provide technical leadership and task oversight to a team of Data Scientists.

• Set coding standards, modelling best practice, and governance frameworks.
• Design, build, and deploy production-grade ML models (predictive & risk).
• Develop scalable ML pipelines in Python.
• Implement robust validation, monitoring, and performance frameworks.
• Translate business and risk requirements into advanced analytical solutions.
• Work closely with actuarial, risk, and engineering teams to operationalise models.

• Strong commercial experience delivering ML models into production environments.
• Advanced Python (essential).
• Experience within Financial Services or other regulated environments.
• Strong predictive modelling expertise (regression, classification, ensemble methods).
• Risk modelling experience (eg pricing, credit risk, claims, underwriting).
• Strong SQL and experience working with large enterprise datasets.
• Experience providing technical leadership and reviewing others' work.
• Ability to communicate effectively with senior stakeholders.