Meewerkstage Pricing Optimization

This Meewerkstage (internship) in Pricing Optimization at a.s.r. offers an excellent opportunity for a student to gain hands-on experience in insurance pricing and data-driven optimization. Working within the quantitative analytics and pricing team, the intern will contribute to developing and refining advanced pricing models. Key daily responsibilities include performing extensive data analysis on large insurance portfolios, building predictive models to assess risk and customer behavior, and analyzing price elasticity. The role involves applying statistical and quantitative methods such as generalized linear models (GLMs), logistic regression, and machine learning algorithms like Gradient Boosting Trees. The intern will collaborate closely with pricing actuaries, product managers, and data scientists to translate quantitative insights into actionable pricing strategies. The technical stack for this internship heavily relies on programming languages like Python and R, along with SQL for data manipulation and querying. This position is ideal for a student in Econometrics, Actuarial Science, Data Science, or a related quantitative field seeking to apply theoretical mathematical concepts to real-world financial challenges.