You will join the Actuarial & Predictive Analytics team to own end-to-end commercial auto pricing models. By building and deploying sophisticated loss cost models and feature pipelines, you'll directly influence Shepherd's underwriting quality and market expansion. This high-impact role blends statistical rigor with shipping real products to achieve the industry's first fully autonomous underwriting.
Back to all jobs
Talk to Jack
Learn about Jack
Actuarial Data Scientist at Shepherd
Join Shepherd, the AI-native insurance platform backed by $60M from Intact Private Capital and Spark Capital, as an Actuarial Data Scientist. You’ll lead the development of predictive pricing models for commercial auto, driving our mission of fully autonomous underwriting for high-hazard industries. This is a high-impact role where you will transform raw data into actionable risk decisions, working at the intersection of statistical rigor and real-world product deployment. If you have 3+ years of experience in predictive modeling and a desire to build the risk infrastructure of the future in SF, NYC, or Chicago, apply now.
Want to apply for this role?
Jack finds you jobs at companies like Shepherd. Talk to Jack to get considered for roles that fit what you're great at.
Location
San Francisco, NYC, United States
Compensation
Not Disclosed
Company
Shepherd
Role overview
AI-native commercial insurance
Shepherd is an AI-native commercial insurance platform transforming how high-hazard industries get covered. Our mission is to make risk frictionless for the builders and operators shaping the physical world — protecting progress from concept through construction and into decades of operation.
What you will do
- Own commercial auto pricing models end-to-end, from initial feature development through production deployment and iterative refinement.
- Design and maintain robust feature pipelines that transform raw submission, claims, and third-party data into high-quality model inputs.
- Collaborate closely with actuaries and underwriters to translate domain expertise into predictive features that improve pricing accuracy and loss ratios.
Who this is a fit for
- 3+ years of professional experience building and deploying predictive pricing models for personal or commercial auto insurance in production environments.
- Strong command of statistical methods including GLMs, GBDTs, and Bayesian methods, alongside proficiency in Python and SQL.
- An AI-native mindset with the ability to reason from first principles and communicate complex findings to non-technical stakeholders.
Why this role is remarkable
- Work at the cutting edge of insurtech, building the industry's first fully agentic submission system for complex commercial construction projects.
- Benefit from strong backing and industry validation, following a $42M Series B led by Intact Private Capital, one of the world's largest insurers.
- Directly shape the risk infrastructure for the next generation of financial services, leveraging real-time data from partners like Procore and Autodesk.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Shepherd wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.