As a Data Scientist in our Credit Risk team, you’ll work on improving both application scoring (to enhance onboarding decisions) and behavioral scoring (to increase portfolio profitability). You’ll be responsible for the full modeling cycle: from exploring data and identifying meaningful patterns, to building and validating models, assessing their business impact, writing clear implementation requirements, and monitoring production performance.

The role goes beyond modeling - you’ll collaborate with product managers, analysts, and engineers to understand business context, generate and test hypotheses, and continuously refine our decision‑making strategy. We operate in a modern, data‑driven environment where models and statistics drive key decisions, and the infrastructure supports fast iteration and deployment.

Each task is evaluated through the lens of business value - there’s no such thing as work “for the drawer.” This is a high‑responsibility, high‑impact role f...