• Data Science Intern

    Location US-RI-Johnston
    Job ID
    Internship/Coop - Other
  • Overview

    FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.


    As a Data Science Intern, you will work with a team that focuses on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. You’ll work alongside multiple departments including operations, innovation, business technology transformation, underwriting and engineering to streamline AI efforts.

    Our projects range from financial decision support and advanced risk analytics to engineering based analytics. We work on short term business critical problems and develop long-term opportunities for FM Global.


    • Currently pursuing a Ph.D. or MS in Data Science, Computer Science, AI, Applied Mathematics, Statistics, Operations Research, or other relevant fields
    • Advanced knowledge of statistical techniques including but not limited to Generalized Linear Models, Machine Learning, Text Analytics
    • Proficiency in MS Excel, MS Word, MS PowerPoint, MS Access/ SQL
    • Proficiency in R and/or Python
    • Experience working with large data sets
    • Experience in design, validation and testing of algorithms and systems
    • Highly analytical with strong problem-solving skills
    • Strong attention to detail
    • Strong verbal and written communication skills
    • Desire and ability to work well with others in a team environment and across disciplines

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