Job description
Description Context Predictive modeling is central to an insurer’s mission: understanding, assessing, and predicting biometric risks. In Life & Health, this often means working with survival analysis , a domain that brings specific methodological challenges due to censored data, non-proportional hazards, complex multivariate relationships, and the need for medically coherent outputs. Within our team, we have developed a robust Python-based survival modeling framework that adapts both traditiona…