Summary
Timothée Plessy is an Actuarial Data Scientist with eight years of experience applying advanced ML and statistical methods to insurance pricing, reserving and product innovation across P&C, Health and Life lines. He blends strong actuarial credentials with hands-on data science—building XGBoost, GLM and deep learning models, automating pipelines, and industrializing solutions at scale for AXA and Akur8. Client-facing and product-oriented, he leads proof-of-concepts, trains underwriters, and translates technical R/Python work into measurable profitability and operational KPIs. With a dual engineering and actuarial education and a PhD-level background in linguistics, he brings a rare mix of quantitative rigor and analytical curiosity, evident in his interest in historical linguistics and NLP. Based in Paris, he contributes to thought leadership through conferences and white papers while driving practical adoption of AI-driven pricing in the EMEA market.
8 years of coding experience
Master's degree General Engineering Data Science Industrial Mathematics Artificial Intelligence Economy, Master's degree General Engineering Data Science Industrial Mathematics Artificial Intelligence Economy at École des Mines de Saint-Étienne
Classes préparatoires aux grandes écoles PCSI - PSI Mathematics Physics Philosophy Engineering Science, Classes préparatoires aux grandes écoles PCSI - PSI Mathematics Physics Philosophy Engineering Science at Buffon High School, Paris, France
Master's degree Actuarial Finance Insurance Statistics Data Science , Master's degree Actuarial Finance Insurance Statistics Data Science at Institut de Science Financière et d'Assurances (I.S.F.A)