Root is looking to revolutionize the archaic car insurance industry by harnessing the power of technology, specifically using machine learning and mobile telematic platforms to build a principled quantitative framework
Requirements
- Demonstrable knowledge of statistical modeling, machine learning, and probability theory
- Proficiency in programming with R or Python, including experience in model fitting
- Strong data visualization skills
Responsibilities
- 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
Other
- Currently pursuing a Master’s or PhD in quantitative field, ideally with an anticipated graduation date between late 2026 and late 2027, preferred
- Strong communicator and storyteller
- End-to-end ownership mentality with a high level of attention to detail
- Ability to work in the US, with support for remote work
- Must be authorized to work in the US, as Root is unable to do OPT and CPT work authorizations
