Root was founded on the belief that car insurance is broken, and we set out to change it. We’re harnessing the power of technology to revolutionize this archaic, complicated industry. Using machine learning and mobile telematic platforms, we’ve built one of the most innovative insurtech companies in the world.

The Opportunity

We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.

Root’s 11-week Actuarial Internship offers the chance to gain exposure to both reserving and pricing disciplines, building a well-rounded foundation in actuarial analytics. You’ll work with our Corporate Actuarial team on loss reserving and reinsurance analyses, helping to evaluate Root’s financial strength and treaty performance. In parallel, you’ll partner with our Pricing and Actuarial Research teams to assess rate adequacy, customer segmentation, and competitive positioning. Throughout the summer, you will apply your quantitative skills to real-world business problems, contribute to automation and process improvements, and deliver insights that support Root’s mission to create a more fair and transparent insurance experience.

Hourly Pay:  $23 - 27/hr

Internship Dates: June 2026 - August 2026

Please Note: We are unable to do OPT and CPT work authorizations

Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.

How You Will Make an Impact

• Support month-end reserving and reinsurance analyses, including evaluating loss development patterns and reinsurance treaty performance.
• Assist with pricing adequacy and competitiveness studies, contributing to the actuarial indication process.
• Apply statistical models and programming tools (Python/SQL/R) to improve and automate workflows across reserving and pricing.
• Collaborate with cross-functional teams (Claims, Product, State Management, and Data Science) to align actuarial assumptions with broader business strategy.
• Communicate findings effectively, producing clear insights and presentations for both technical and non-technical stakeholders.

What You Will Need to Succeed

• Strong quantitative and problem-solving skills, with coursework or experience in statistics, actuarial science, or a related field.
• Programming ability in Python, R, or SQL, with interest in building scalable data solutions.
• Solid foundation in statistical modeling and probability, ideally with exposure to insurance or financial applications.
• Strong written and verbal communication skills, including data visualization and storytelling.
• Progress toward an actuarial credential (CAS/SOA exams) or demonstrable interest in pursuing an actuarial career.

As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.

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