Summary
Øyvind Klåpbakken is a senior data scientist in Oslo with nine years of experience applying statistical rigor to insurance pricing, risk modeling and MLOps. Trained in industrial mathematics, he bridges actuarial science, software engineering and machine learning to deliver production-ready models and internal tools that standardize workflows across teams. He has led development of modern pricing platforms, reusable R packages for actuarial use, and end-to-end Python risk models on Databricks while enabling geospatial modeling and cloud-based MLOps. Comfortable working between research and product, he has also built customer-facing engines that tangibly reduced claims costs and shaped technical tariffs for products with up to NOK 1 billion GWP. Colleagues rely on him for pragmatic, reproducible solutions that move advanced methods into routine actuarial practice.
10 years of coding experience
5 years of employment as a software developer
Erasmus Exchange, MATHEMATICS AND STATISTICS, Erasmus Exchange, MATHEMATICS AND STATISTICS at University of Amsterdam
Norwegian University of Science and Technology
English, German, Norwegian