Data Science Advanced Analytics Intern

Posted on 11/7/2025

FM Global

FM Global

No salary listed

Providence, RI, USA

In Person

Overview

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

Responsibilities

As a Data Science Intern at our Innovation Analytics & AI department, you will be part of a team that translates business needs into analytics, interprets analytics for business applications, and leverage advanced technologies to provide artificial intelligence solutions. This role will provide you with the opportunity to be part of top-notch research in the field of loss prevention.

You’ll be part of a leading-edge and diverse team of sophisticated data and analytics professionals at our corporate offices in Johnston, RI. Your projects will be interesting, exciting, and challenging, and you will use your creativity and leverage a vast array of techniques and tools.

Qualifications

  • Actively enrolled in a Ph.D. or M.S. program in Statistics, Mathematics, Applied Mathematics, Operations Research, Industrial Engineering.

  • Knowledge of Generalized Linear Models, Linear Models, and Machine Learning, OR Deterministic and Probabilistic Operations Research, and Simulation

  • At least 1 year of experience of using R, Python or SQL for data analysis

  • Proficiency in MS Office Applications including Excel, Word, PowerPoint, Access

FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.