Sr Principal Data Scientist

Progressive; Mayfield (OH); On-site; USD 145,000 - 207,000; Full time

Benefits offered by this job

401(k) match up to 6%

Medical, dental & vision insurance

Wellness & mental health programs

Paid time off & volunteer time off

Parental & family leave

Career development & tuition support

Job summary

Progressive is seeking a Senior Principal Data Scientist in the Claims Control Data Solutions group in the United States. The role guides the largest data science and engineering team, applying machine learning, machine vision, and generative AI to improve claims accuracy, efficiency, and outcomes.

The role partners with Claims leadership, product, and technology to design, test, launch, and scale responsible analytical and AI solutions across the business.

Qualifications

• Minimum 8 years of experience in Statistical/Quantitative Modeling and/or ML tools and in using various database tools processing large volumes of data.
• Bachelor's degree with quantitative focus and minimum 5 years in Statistical/Quantitative Modeling/ML and database tools (Hadoop, SQL).
• Master's degree or higher with quantitative focus and minimum 3 years in Statistical/Quantitative Modeling/ML and database tools (Hadoop, SQL).

Responsibilities

• Lead the Claims Data Science and Engineering team to design, test, launch and scale AI solutions.
• Collaborate with Claims leaders, product and technology teams to deliver measurable business impact.

Skills

Statistical/Quantitative Modeling

Machine Learning

LLMs & AI

AI Production

Leadership/Mentoring

Education

Bachelor's degree with quantitative focus

Master's degree or higher with quantitative focus

Tools

R

Python

Hadoop

SQL

Job description

Senior Principal Data Scientist – Claims Control Data Solutions

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

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.