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 Data Science Internship offers the chance to work on meaningful business challenges in areas like Claims, Lifetime Value Estimation, and Marketing. Interns will collaborate closely with experienced Data Scientists and cross-functional teams, applying advanced quantitative techniques to deliver real-world solutions. We’re looking for candidates with strong quantitative skills, programming abilities, and a passion for problem solving.

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.

Salary Range: PhD Students: $45/hour; Master’s Students: $32/hour

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

• Apply statistical and machine learning techniques to solve quantitative problems in the insurance industry
• Expand your skills with hands-on training and mentorship from seasoned data scientists
• Improve upon quantitative solutions in Claims, Lifetime Value Estimation, or Marketing
• Communicate insights from complex analyses to technical and non-technical audiences
• Present your findings to leaders and stakeholders, showcasing the value of your work
• Demonstrate proficiency in data science fundamentals by the end of the program, with the potential to transition into a full-time Data Scientist role

What You Will Need to Succeed

• Currently pursuing a Master’s or PhD in quantitative field, ideally with an anticipated graduation date between late 2026 and late 2028 preferred
• Demonstrable knowledge of statistical modeling, machine learning, and probability theory
• Proficiency in programming with R or Python, including experience in model fitting
• Strong communicator and storyteller with strong data visualization skills
• End-to-end ownership mentality with a high level of attention to detail

The interview process includes an initial 30 minute phone interview with a recruiter, followed by a 2.5 hour interview with the interview team for candidates who advance to the final interview stage.

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.

Please see our Privacy Notice available HERE for more information on how we process your personal data.