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 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

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.

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