Head of Data Science Up to £140,000 London (Hybrid, 3 days onsite per week) Company: They are reinventing car finance for the digital age to make it faster, fairer, and more flexible for everyone. As a tech-first company, data is at the heart of everything they do - from real-time decisioning and risk modelling to personalising the customer journey and driving smarter business decisions. They are building a modern data stack and scaling our analytics capabilities to fuel innovation across the business. Responsibilities: Working within the credit and analytics team to build a world class lending platform Analyse ways to increase acceptance rates while maintaining performance Identify data and algorithmic opportunities to reduce fraud risk Own the Collections strategy and deliver solutions to improve debt recovery Create analytic testing frameworks Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) A good understanding of the regulatory environment, especially responsible lending (creditworthiness/ affordability) Experience in using the latest data science techniques to enhance decisioning Strong background in risk management How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.