Data Scientist
Core
Develop innovative credit risk solutions and analytical products using statistical modelling and machine learning to help clients make informed decisions.
Role type
Data Scientist (Credit Risk Analytics)
Builds
Credit risk scorecards, predictive models, and analytics platforms for financial clients.
Domain
Financial services / Credit risk analytics
Deliverable
production ML models | product features
Required skills
Statistical modelling, machine learning, Python, SQL, credit risk scorecard development, data analysis, model validation
Preferred skills
PySpark, cloud-based analytics environments, credit risk management regulations
Technologies
Python, SQL, PySpark
Responsibilities
Deliver analytics projects focusing on statistical and predictive modelling; Develop, test, and validate predictive models and credit risk scorecards; Explore and analyse data to identify trends, patterns, risks, and opportunities; Support client discussions to understand problems and position analytical solutions; Communicate analytical findings and recommendations to technical and non-technical stakeholders; Collaborate with colleagues across the Nordics on client projects and innovation initiatives.
Seniority
Mid-level, hands-on IC
