Director, Data Science for Actuarial Modeling (Hybrid)

A leading insurance company in Chicago is seeking a Director & Data Scientist to develop statistical and machine learning solutions for actuarial pricing and reserving modeling. The ideal candidate should have over 8 years of experience, expertise in statistical modeling and machine learning, and a Master’s or Ph.D. in a relevant field. This role features a hybrid work schedule with significant responsibilities in model development and collaboration across teams. Competitive compensation ranges from $138,000 to $207,000.
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