Head of Data Science

HEAD OF DATA SCIENCE London (Hybrid) | £120,000 - £140,000  Equity This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You'll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.

The Company They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.

The Role Define and lead the data science strategy across risk, affordability, and decisioning. Develop and deploy machine learning models that support lending decisions. Drive the adoption of AI and advanced analytics solutions across the organisation. Partner closely with Product, Engineering, Credit Risk, and Operations teams. Own model deployment, monitoring, governance, and performance evaluation. Present insights and recommendations to senior stakeholders and leadership teams.

Your Skills & Experience Strong commercial experience in credit risk modelling within consumer lending or financial services. Hands-on expertise in Python, SQL, machine learning, and predictive modelling. Experience deploying models into production environments and monitoring performance. Knowledge of AI, LLMs, or agent-based technologies in real-world applications. Strong stakeholder management and communication skills. Ability to balance technical excellence with commercial objectives.

What They Offer Salary of £120,000 - £140,000 depending on experience. Equity participation. Private healthcare and enhanced pension contribution. Generous holiday allowance. Clear scope for leadership, ownership, and career progression.

How to Apply

If you're interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.