Summary
Ragnhild Noven is a data scientist based in Oslo with 11 years of experience combining rigorous academic training—a PhD in statistics and an MSci in mathematics from Imperial College—with practical, production-focused work in finance and maritime industries. She has built and deployed predictive and extreme-value models using stochastic processes, MCMC, R and C++, first in academic research and then as a quantitative researcher at G-Research and now as a data scientist at Torvald Klaveness. Her background bridges deep statistical theory and hands-on implementation for time‑space and financial prediction problems, enabling robust modelling of rare events. Colleagues value her ability to translate complex probabilistic methods into reliable, maintainable code for real-world decision making.
11 years of coding experience
5 years of employment as a software developer
MSci, Mathematics, First class (1st), MSci, Mathematics, First class (1st) at Imperial College London
IB diploma, IB diploma at Bergen Katedralskole
English, Norwegian, German