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Head of Data Science

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: La Fosse
Full Time position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 140000 GBP Yearly GBP 120000.00 140000.00 YEAR
Job Description & How to Apply Below

Head of Data Science | Fintech | £120,000–£140,000 + Equity

I'm partnering with a fast-growing fintech looking for a hands-on, AI-native Head of Data Science to own its data science strategy and build the models that enable smarter, faster and safer lending decisions.

This is a high-impact opportunity for a technically strong leader who can combine strategic ownership with hands-on delivery, building and deploying machine learning models and AI agents that directly influence business performance.

The Opportunity
  • Own the data science strategy, with a focus on credit risk modelling, risk prediction and affordability assessment.
  • Build, deploy and optimise machine learning models to improve decision-making and balance risk management with customer experience.
  • Apply LLMs and agentic AI to real-world business decisions, taking solutions beyond proof of concept and into production.
  • Take end-to-end ownership of models, from development and testing through to deployment, monitoring and governance.
  • Work closely with Product, Engineering, Credit, Operations and Collections to turn data science into measurable commercial outcomes.
  • Lead the data science roadmap, using analytics and management information to demonstrate impact and inform senior leadership.
  • Report directly to a highly regarded, award-winning data leader in the UK, with the opportunity to work alongside an established figure in the data community.
  • Help shape the future of a growing fintech, with significant autonomy and influence from day one.
What We're Looking For
  • Strong hands-on Python, SQL and machine learning skills, with a track record of building and deploying models into production.
  • Practical experience applying LLMs and AI agents to real-world business decisions, including evaluation, guardrails and governance.
  • Strong production engineering skills across Git, testing, CI/CD, cloud platforms and model monitoring.
  • A product-minded, commercially driven individual who can balance risk management with customer experience.
  • Someone who enjoys building from scratch, taking ownership and translating technical solutions into tangible business results.
The Package
  • Location: London, hybrid working with three days per week in the office
  • 30 days' annual leave plus bank holidays and an additional day off for your birthday

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