Senior Data Scientist, Fraud Prevention

About us

At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.

GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.

And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.

Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.

Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effec