Base: $110,720 - $166,080; bonus/equity: not speci...
Hybrid
Statistical or ml models development
Python and sql skills
Git and cloud ml environments
Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring
Job Summary
Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring.
Partner with Actuarial, Underwriting, Product, Data Engineering, and Governance teams to align modeling work with business strategies.
Engage in high-visibility enterprise modeling initiatives and work with modern analytical tools, ML, and generative AI.
Matching Summary
Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring.
Salary
Base: $110,720 - $166,080; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
statistical or ML models development
Python and SQL skills
Git and cloud ML environments
collaboration across functions
communicate insights effectively
Nice-to-have
insurance analytics experience
model governance and monitoring
Agile delivery or MLOps pipelines
mentor and support peers
Key Requirements
5+ years experience
Master’s/PhD degree
authorized to work in US without sponsorship
Work Rights
Authorized to work in the US without company sponsorship