Lead Actuarial Data Scientist

PURE Insurance • Chicago, IL

1d • $170,000 - $200,000

About The Position

As Lead Actuarial Data Scientist you will serve as a senior technical leader responsible for advancing pricing sophistication across personal lines products, with a focus on auto and homeowners. You will lead the development, enhancement, and oversight of pricing models and rating plan analytics, bringing deep expertise in personal lines pricing, generalized linear models, and modern machine learning techniques. This role requires strong command of rating plan architecture, risk segmentation, and predictive modeling, along with the ability to translate complex analytics into pricing and product decisions. You will partner closely with Product, Underwriting, Data Science/Engineering, and other cross-functional teams to shape and enhance our pricing strategy to better serve the membership.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Opportunities to stretch and grow: your professional and personal development matters to us. We’re committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.
• 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. You can expect a thoughtful partner, even when we disagree.
• A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual. We lift each other up, celebrate wins together and support one another through challenges in work and life.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior