GIS Engineering Co-op - Climate & Risk Assessment

Liberty Mutual is a global Fortune 100 property and casualty insurer helping individuals, businesses, and organizations evaluate risk, minimize costs, and maintain safety.

The Catastrophe R&D Group is hiring a Co-op for a 6-month term (January – June 2027). Working alongside senior scientists and engineers, you will perform data mining, scientific literature reviews, spatial data collection, and geospatial analysis. In this role, you will help build interactive mapping solutions and spatial databases to evaluate natural disaster risks and climate change impacts (floods, hurricanes, wildfires, earthquakes).

Key Responsibilities

• Data Mining & Research: Perform data extraction, literature reviews, and spatial data mining on natural hazards and climate risk research models.
• Geospatial Analysis: Collect, analyze, and visualize complex spatial and statistical datasets using geospatial software and analytical frameworks.
• Mapping & Spatial Databases: Develop and maintain interactive web maps and spatial databases for natural disaster risk modeling.
• R&D Collaboration: Work closely with senior catastrophe scientists and engineers to translate scientific hazard models into actionable risk management applications.

Requirements

Academic & Program Eligibility

• Undergraduate or graduate student pursuing a degree in Geography, GIS, Environmental Science, Civil/Environmental Engineering, or a related quantitative field.
• Strong academic standing with a cumulative GPA of 3.0 or higher preferred.
• Must be available to work full-time (40 hours/week) from January through June 2027.
• Must be legally authorized to work in the United States without current or future employer sponsorship. (Candidates on CPT/OPT/STEM-OPT requiring future sponsorship are not eligible).

Technical & Software Skills

• Coursework or hands-on experience in geospatial analytics and desktop GIS software (ArcGIS Pro, ArcMap, or QGIS).
• Coursework or practical scripting experience in Python or R for data processing and analysis.
• Working knowledge of Microsoft Excel and Word for reporting and data structuring.

Professional Competencies

• Strong analytical, mathematical, and problem-solving skills with meticulous attention to detail.
• Effective written and verbal communication skills for presenting complex geospatial concepts to cross-functional teams.