Data Science Intern

About Root Inc.

Root was founded on the belief that car insurance is broken and set out to change it. Harnessing the power of technology, Root aims to revolutionize the archaic, complicated insurance industry. Using machine learning and mobile telematic platforms, the company has built one of the most innovative insurtech companies globally.

The Opportunity: Data Science Intern at Root

Root is committed to building a disruptive insurance company on a principled quantitative framework, focusing on the rigorous development and effective deployment of modern statistical machine learning methods. This 11-week Data Science Intern provides a unique chance to work on meaningful business challenges in critical areas such as 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. Root is seeking candidates with strong quantitative skills, programming abilities, and a passion for problem-solving. This is a "work where it works best" company, supporting remote work 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 potential for a full-time Data Scientist role.

What You Will Need To Succeed

• Currently pursuing a Master’s or PhD in a quantitative field, with an anticipated graduation date between late 2026 and late 2027 (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.

Internship Details

Duration: 11 weeks (June 2026 – August 2026)

Work Arrangement: "Work where it works best" across the US (remote).

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

Note: Root is unable to sponsor OPT and CPT work authorizations.

Interview Process

The process includes an initial 30-minute phone interview with a recruiter, followed by a 2.5-hour interview with the interview team for advancing candidates. Virtual interviews require candidates to be on camera to ensure a personal and engaging experience, and it's part of assessing fit and communication style.

Key Skills/Competency

• Machine Learning
• Statistical Modeling
• Data Science
• Python
• R Programming
• Data Analysis
• Quantitative Analysis
• Data Visualization
• Problem Solving
• Communication