Lead Actuarial Data Scientist

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.

What You'll Do:

• 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.

Do you have experience in Python?, Do you have a Master's degree?, * 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.

3.93.9 out of 5 stars Chicago, IL $170,000 - $200,000 a year - Full-time, The base salary for this role can range from $170,000 to $200,000 based on a full-time work schedule. An individual's ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience

We want to be transparent about what we expect from each other. From PURE, you can expect: 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. Who You Are All of the strongest relationships are a partnership- a two way street. So here's what we ask of you: * Aim to bring your best every day: you're here because you want to be part of a team that makes a real impact and aims high. * Be a student and a teacher: share your knowledge and talents and be willing to listen and learn from those around you. * Get comfortable being uncomfortable: we face tough moments and obstacles with a "courage over comfort" approach and a positive, solutions-oriented mindset. * Be a culture builder: building a positive culture is everyone's responsibility, based on care, respect and openness to diverse perspectives.