Catastrophe Modeling & GIS Research Co-op (July - Dec 2026)

Liberty Mutual InsuranceBoston, MA
19d

About The Position

We are beyond proud to be a leading global property and casualty insurer providing a comprehensive range of insurance products and services to individuals, businesses, and organizations across multiple countries. If you have a knack for solving problems and seek a rewarding opportunity with a global Fortune 100 company, join us in helping our customers reduce risk, minimize costs, and stay safe. We are seeking a candidate to join our R&D (Research and Development) group, focusing on the development and creation of mapping solutions for risk assessment related to natural catastrophes and climate change impacts. This six-month co-op will challenge you with real-world projects and hands-on training, all while being mentored by leaders and experts in risk management R&D. Best of all, at the close of your co-op experience, you may have the opportunity to explore a future career with Liberty Mutual, one of the leading property and casualty insurers in the country.

Requirements

  • You are an undergraduate or graduate student in Geography, GIS, Environmental Science, Engineering working towards a degree with a strong academic record and a cumulative 3.0 GPA preferred.
  • You have course work or experience in geospatial analytics and working with GIS applications (e.g., ArcMap, ArcGIS Pro, or QGIS).
  • You have strong analytical and problem-solving skills
  • You are detail-oriented and thrive in a fast-paced work environment.
  • You have course work or experience in programming languages (Python or R).
  • You have a working knowledge of Microsoft Word and Excel.
  • You possess strong interpersonal and communication skills.
  • You must be available to work full-time from July - December 2026.
  • You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEM‑OPT who will require future sponsorship, are not eligible to apply.

Responsibilities

  • Perform data mining and in-depth reviews of research literature, data, and models.
  • Collect, analyze and visualize data, using geospatial, statistical as well as other analytical methods.
  • Develop and maintain interactive maps and spatial databases for natural disaster risk assessment (floods, hurricanes, wildfires, earthquakes, etc.).
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