Summary
Thomas Bury is a Lead Data Scientist based in Brussels with nine years of experience blending physics-rooted quantitative thinking with practical machine learning and actuarial applications. He specializes in insurance pricing, attrition and spatial modelling, building private Python packages and promoting MLOps best practices to industrialize models across teams. At Allianz he bridges statisticians, actuaries and ML engineers to integrate statistical and machine learning techniques into non-linear pricing and risk modelling, aiming for measurable operational profit improvements. His background as a physicist and PhD in econophysics gives him a distinctive advantage in modelling complex, interacting systems and extracting robust signals from noisy market and customer data. Known for demystifying advanced analytics across organizations, he also contributes to tooling, visualization and reproducible pipelines rather than just prototype models. Outside the obvious, he frames data science problems through an interdisciplinary lens—combining econometrics, applied math and software engineering to turn theoretical insight into production-grade solutions.
8 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.), Physics, Distinction, Master of Science (M.Sc.), Physics, Distinction at Université libre de Bruxelles
French, English