Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Lead, Actuarial Data Science: Loss Modeling & Pricing

  • Job type Posted on: Jul 17, 2026
  • Experience level Hippo
  • Employment type San Jose, California
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Lead, Actuarial Data Science: Loss Modeling & Pricing roles in California.

View Salary Guide →

Job Title :

Lead, Actuarial Data Science: Loss Modeling & Pricing

Job Type :

Full-time

Job Location :

San Jose California United States

Remote :

No

Jobcon Logo Job Description :

Hippo is seeking a hands-on Manager, Actuarial Data Science to lead a homeowners insurance modeling team and develop pricing, underwriting, and growth analytics. You’ll build loss models by peril, expand capabilities across conversion and portfolio performance, and deliver production-grade workflows in Python. This role reports to the Director, Actuarial and collaborates with Product, Insurance, and Data Engineering. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 17, 2026

Reference Number:

14660_D7D07DB9950DB011FCD433E84597A890

Employment:

Full-time

Salary:

Not Available

City:

San Jose

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Lead, Actuarial Data Science: Loss Modeling & Pricing    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Hippo is seeking a hands-on Manager, Actuarial Data Science to lead a homeowners insurance modeling team and develop pricing, underwriting, and growth analytics. You’ll build loss models by peril, expand capabilities across conversion and portfolio performance, and deliver production-grade workflows in Python. This role reports to the Director, Actuarial and collaborates with Product, Insurance, and Data Engineering. #J-18808-Ljbffr

Loading
Please wait..!!