Lead Actuarial Data Scientist

The Muse

Lead Actuarial Data Scientist enhancing pricing models for personal auto and home insurance products. Collaborating with cross-functional teams and mentoring junior data scientists.

Posted 6/10/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $170,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead the end-to-end design, development, and implementation of new and innovative rating plans for personal auto and home insurance products.
Build and refine pricing models using GLMs, GBMs, and other ML techniques to sharpen risk segmentation and deliver competitive price accuracy.
Drive feature engineering efforts and identify, evaluate, and integrate external data sources to enhance model performance and predictive power.
Design and build efficient, scalable, and repeatable processes for model development, data pipelines, and rating plan deployment.
Own the technical documentation, validation, and peer review of rating plan changes to ensure accuracy and compliance.
Partner closely with Product, Data Science, Engineering, Underwriting, and other business and analytical teams to develop and implement changes.
Mentor and provide technical guidance to junior actuaries and data scientists, fostering a collaborative and high performance team culture.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Actuarial Science, Mathematics, Statistics, Computer Science, or a related field; FCAS or ACAS designation a plus.
8+ years of experience in actuarial, data science, ML/AI, or related technical roles.
5+ years of experience within the P&C insurance industry.
Advanced proficiency with predictive modeling techniques, including GLMs, gradient boosting, and other machine learning methods.
Strong understanding of insurance rating, pricing, and product structures, particularly within Personal Lines.
Experienced in independently leading complex technical analyses.
Strong programming skills in Python and experience with Git.
Exposure and usage of AI-assisted coding.

Benefits

Comp & perks

Opportunities to stretch and grow: your professional and personal development matters to us.
Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.
Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy.
A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GLMsGBMsmachine learningpredictive modelingfeature engineeringdata pipelinestechnical documentationPythonGitAI-assisted coding

Soft Skills

mentoringtechnical guidancecollaborationteam cultureanalytical skillsleadershipcommunication

Certifications

FCASACAS