DATA SCIENTIST
Pubblicato il 15-08-2026 - Altro in Italia
Milan | Salary: 63236 | 90429 EUR | Type: Tempo pieno | Posted: 2025-11-10
We are rebuilding our fraud detection systems from the ground up, and we are looking for data scientists who want the full mandate to do it right, from raw data to production model, at a scale that affects hundreds of millions of transactions.
Klarna is a big company that still moves like a startup: fast decisions, real ownership, and models that ship. We own the full stack, and expect you to build it with us to enable your use cases. If you have the curiosity to find the right problem, the grit to build the right solution, and the ambition to see it matter, this is the opportunity.
Key responsibilities Build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment.
Convert Klarna's existing rules-based fraud systems into sophisticated, model-driven architectures that operate at scale across hundreds of millions of transactions.
Translate ambiguous business problems into precise technical solutions and bring novel approaches such as graph networks, anomaly detection, and behavioural signals into production where they create real impact.
Work with engineers, analysts, and commercial stakeholders.
Who you are End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining.
Strong instinct for when a model is ready for production and when it is not.
Proven track record of building ML models and pipelines from scratch, not integrating or extending someone else's product or tooling.
Experience building real-time or near-real-time inference systems; Strong Python and SQL skills with hands-on experience in scikit-learn, LightGBM, Docker, Jenkins, and modern Python packaging.
Bring novel solutions where others reach for off-the-shelf tooling.
Degree in computer sci