Data Scientist, Featurespace

This isn’t a role where you build a model and hand it over.

You’ll work across the full lifecycle of analytical products, from understanding customer problems and exploring data through to developing, deploying, monitoring and improving models in production.

You’ll combine strong data science with product thinking and operational ownership. You’ll see how your models perform with real customer data, understand the value they deliver, and help ensure they remain effective and well-managed as data, customer needs and fraud patterns change.

You won’t be developing your expertise in isolation. You’ll join a group of other Data Scientists in Cambridge focused on fraud and risk, working alongside colleagues with significant experience in the field. It’s a close-knit and collaborative team, with lots of opportunities for informal learning, mentoring and exchanging ideas with people tackling similar problems.