Well known insurance company seeks a graduate level Data Scientist with a quantitative discipline or fellowship in one of the actuarial societies. This role requires a minimum of 5 years of experience with predictive analytics in an insurance context, as well as expertise in modeling techniques and performing data wrangling, data matching, and ETL techniques. Must be able to perform model validation with a focus on predictive models and programming in R, Python, SPARK, SAS, and SQL. (#51794)
Data Scientist, Life (New York #51794)
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