About this role

Support the refinement of pricing models to ensure compliance with regulatory requirements
Contribute to the continuous improvement of our pricing models
Collaborate with Product, Actuarial, and State Product Management teams
Apply your technical skills in R, SQL, and H2O to analyze and optimize pricing models.
Contribute to large-scale data science modeling projects

Advanced degree in a quantitative discipline (Master’s or PhD preferred)
2+ years of experience applying advanced quantitative techniques, ideally in the insurance or financial services industry.
Strong proficiency in R (e.g., tidyverse, data.table) and SQL
Familiarity with pricing models and understanding of insurance regulatory environments is a strong plus.
Experience with H2O and other advanced modeling techniques is a plus.
Technical proficiency in version control systems such as Git
Experience with cloud utilities such as AWS (e.g., EC2, S3) is a plus for scalable data processing and storage.
Strong business intelligence and data visualization skills
Strong communication skills.

Data Scientist II, Pricing

Key skills