FM 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 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. The Climate Risk and Resilience research group at FM is looking for creative, self-motivated individuals for internships. Selected candidates will work alongside a unique group of scientists to protect the value of FM clients' businesses by developing methods to identify hazards, assess risk, and produce loss prevention solutions that are efficient and cost-effective. The internship will be supervised by senior staff in the Climate Risk and Resilience research group and provides an opportunity to engage in solving real-world science and engineering problems in the insurance industry. As a future GIS intern, you will be contributing to a data library which includes input datasets for various natural hazard models. Responsibilities include data acquisition, conversion and transformation of various geospatial data types through a scientific programming approach. Graduate students (with good academic standing for graduation), who are seeking to expand their research experience beyond academia and bring expertise in the following active research areas: + Geospatial analysis and development + Data science and scientific programming **General:** + Strong analytical skills and solid knowledge of geospatial processing and database management principles + Hands-on experience with the following: Raster analysis, coordinate system projections and transformations, vector relational data management + Proficiency in processing large volumes of data + Excellent written and verbal communication skills **Desired:** + Experience in code development in programming languages such as python, R, or C++, and code documentation through Jupyter Notebooks + Comfortable writing shell scripts and using APIs to automate workflows + Comfortable in Microsoft Windows and Linux environments This is an in-office role based in Norwood, MA. Temporary relocation support provided for selected qualified candidate. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. **\#LI-TA1**