(Summary generated by AI based on the full job description)
The project covers consulting and implementations for financial institutions, primarily insurance. The tech stack and tools include Python or R and statistical methods such as GLM, predictive modeling and machine learning; optionally experience with pricing engines (Earnix, PricingCenter, hx). Responsibilities include designing, building and maintaining risk and pricing models, migrating and configuring models in pricing engines, automating pricing processes and supporting implementation and optimization of pricing solutions for insurers.

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