Role purpose

As Data Science Manager, you will combine active, hands-on delivery with a senior technical presence that raises the bar for the team around you. You will work end-to-end on credit risk strategy, features, and analytics, while also acting as a day-to-day technical reference point for junior colleagues based in the same office. You will contribute to the development and performance of the broader local data science team, working closely with data science managers across other locations to ensure the team operates to consistent standards.

Key responsibilities

1. Hands-On Delivery

• Analyse customer, bureau, transactional, and repayment data to identify drivers of risk, loss, approval rates, and customer outcomes.
• Build and iterate credit risk features and model inputs — behavioural signals, affordability proxies, stability-tested transformations — working closely with modellers and engineering.
• Design, run, a...