About this role
This Actuarial Data Science Lead role suits an experienced statistical professional with a background in insurance pricing who wants to shape commercial risk models in New York City. The position sits on the Actuarial and Predictive Analytics team at Shepherd, focusing on commercial auto pricing and risk platform development.
Role Overview
Shepherd is hiring an Actuarial Data Science Lead to work in New York City on a full-time basis. This individual contributor position involves building predictive models and pricing frameworks for high-hazard commercial industries. The role bridges statistical rigor with software deployment, working alongside underwriters, engineers, and actuaries.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Shepherd operates as a technology-driven Managing General Underwriter transforming commercial Property and Casualty insurance for high-hazard industries. The company has raised over $60 million in total funding, including a March 2026 Series B led by Intact Private Capital, with additional backing from Costanoa Ventures, Spark Capital, Susa Ventures, and Y Combinator.
How to Apply
Apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Actuarial Data Science Lead role?
The role is located in New York City.
What is the salary range for this position?
The salary ranges from $200K to $240K with equity included.
What level of experience is required?
Candidates must have 7+ years of professional experience building and deploying predictive pricing models in production.
Are there specific actuarial credentials required?
Yes, candidates must hold an ACAS or FCAS actuarial designation.
What programming languages are required?
Proficiency in Python and SQL is required.
