Sr Principal Data Scientist

About the job

Senior Principal Data Scientist – Claims Control Data Solutions

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination Progress.

As a senior principal data scientist on the Claims Data Science and Engineering team, you’ll guide the largest data science and engineering team at Progressive. You’ll use machine learning, machine vision, and generative AI to solve some of the business’s largest business problems. You’ll prioritize making claims more accurate and efficient, improving customer outcomes, and improving our operations. You’ll also work closely with Claims business leaders, business partners, product, and technology teams throughout the company to design, test, launch and scale responsible analytical and AI solutions.

Minimum qualifications

• A minimum of 8 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data.
• {OR} Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
• {OR} Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 3 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc.) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data**.**

Preferred skills

• Experience leading complex machine learning or AI projects from ideation through launch and adoption, with measurable business results.
• Deep expertise in statistical modeling, machine learning, and modern AI, including LLMs, agent-based systems, and retrieval and context design, and working with unstructured data such as claim notes, documents, and images.
• Experience building rigorous ways to evaluate models in production: experiments, testing, monitoring, reliability, fairness, and safety.
• Strong technical skills in production AI architecture, software and data engineering, cloud environments, open-source tools such as Python, and managing models over their full lifecycle.
• A record of mentoring others and improving data science practices across teams and influencing senior partners across business areas.
• Experience in insurance claims or another high-volume operational setting and the ability to turn business problems into practical analytical solutions, including recognizing when a simpler non-AI/ML solution will create more value

Compensation

• Base: $144,900 - $207,000/year
• Gainshare annual cash incentive payment up to 50% of your eligible earnings based on company performance
• Participation in our restricted stock units plan

Benefits

• 401(k) with a dollar-for-dollar company match up to 6%
• Medical, dental & vision, including free preventative care
• Wellness & mental health programs
• Health care flexible spending accounts, health savings accounts, & life insurance
• Paid time off, including volunteer time off
• Paid & unpaid sick leave where applicable, as well as short & long-term disability
• Parental & family leave; military leave & pay
• Diverse, inclusive & welcoming culture with Employee Resource Groups
• Career development & tuition assistance

Energage recognizes Progressive as a 2026 Top Workplace for: Innovation, Purposes & Values, Work-Life Flexibility, Compensation & Benefits, and Leadership.

Equal Opportunity Employer

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.