
About the role
Senior/Lead Data Scientist, Fraud at Klarna in Milan. First-line build, not the validation posting: they are rebuilding fraud detection from scratch, converting rules into model-driven systems that score hundreds of millions of transactions.
You own the stack: data, features, model design, training, low-latency deploy, monitoring, retraining. Graph networks, anomaly detection, and behavioural signals are in scope where they actually reduce loss. They want people who have built pipelines from scratch, not only maintained someone else's framework.
Highlights
- Milan onsite, Klarna fraud rebuild.
- End-to-end ML including real-time production.
- Graph, anomaly, and behavioural methods called out.
- Title spans Senior/Lead. No salary disclosed.
This recap is dataskew's editorial summary, not the company's copy.