Pricing Data Science Lead — Commercial Auto (Actuarial)

Socket.dev; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Premium Healthcare

Fertility benefits and family building

Unlimited PTO

Daily meals

SF, NYC, Dallas-Fort Worth, Chicago &

Professional Development

401(k) Plan

Dog-friendly office

Job summary

Shepherd is building the data infrastructure and predictive models that power modern commercial insurance. As an Actuarial Data Science Lead on the Actuarial & Predictive Analytics team, you will own the development of pricing models starting with commercial auto, one of our highest-volume and most data-rich lines.

You'll directly shape the quality of the book we write and the products we bring to market. This is a high-impact, individual-contributor role for someone who thrives at the

Qualifications

• 7+ years building and deploying pricing models in production.
• Actuarial concepts: loss development, exposure rating, credibility.
• Statistics foundation: GLMs, GBMs, time series, Bayesian methods.
• Proficiency in Python and SQL.
• ACAS/FCAS actuarial designation.
• Feature engineering on messy, real-world data.
• Communicate results clearly to non-technical audiences.
• AI-native mindset: using LLMs and AI tools to accelerate work.
• Experience managing a small team or project.

Responsibilities

• Own commercial auto pricing models end-to-end from feature development through deployment.
• Build and deploy predictive models and loss cost models for pricing.
• Design and maintain feature pipelines transforming data into model-ready inputs.
• Collaborate with actuaries and underwriters to translate domain knowledge into features.
• Develop model monitoring frameworks to track drift and calibration.
• Run experiments and back-tests to quantify impact on loss ratios and portfolio quality.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Pricing model development

Actuarial concepts

Statistics: GLMs/GBDTs

Python & SQL

ACAS/FCAS

Feature engineering

Communication

AI mindset

Team leadership

Tools

AWS

NLP tools

Job description

Shepherd is building the data infrastructure and predictive models that power modern commercial insurance. As an Actuarial Data Science Lead on the Actuarial & Predictive Analytics team, you will own the development of pricing models starting with commercial auto, one of our highest-volume and most data-rich lines.

You'll directly shape the quality of the book we write and the products we bring to market. This is a high-impact, individual-contributor role for someone who thrives at the