Actuarial Data Science Lead: AI-Driven Auto Pricing

Shepherd; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Premium Healthcare

Unlimited PTO

Daily meals provided

Professional Development

Dog-friendly office

Job summary

Shepherd in San Francisco is seeking an Actuarial Data Science Lead to develop pricing models for commercial auto insurance. This role involves collaborating with actuaries and engineers to use data for informed decisions and improvements on pricing accuracy.

The ideal candidate will have over 7 years of experience in predictive pricing and a strong background in statistics, particularly in the insurance domain. Benefits include premium healthcare, unlimited PTO, and a dog-friendly office environment.

Qualifications

• 7+ years of experience with commercial lines predictive pricing models.
• Strong foundation in statistics including GLMs and Bayesian methods.
• Ability to communicate complex results to non-technical audiences.

Responsibilities

• Own commercial auto pricing models end-to-end and iterate as needed.
• Build and deploy loss cost models for pricing decisions.
• Collaborate to translate domain expertise into tangible model features.

Skills

Predictive pricing models

Statistics

Python

SQL

Actuarial concepts

Education

ACAS/FCAS actuarial designation

Tools

AWS

Job description

Shepherd in San Francisco is seeking an Actuarial Data Science Lead to develop pricing models for commercial auto insurance. This role involves collaborating with actuaries and engineers to use data for informed decisions and improvements on pricing accuracy.

The ideal candidate will have over 7 years of experience in predictive pricing and a strong background in statistics, particularly in the insurance domain. Benefits include premium healthcare, unlimited PTO, and a dog-friendly office environment.