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Business Insights & Analytics Leadership Development Program – Geospatial Intern - BI&a Ldp

The Travelers Companies

$27 - $29
Sep 2, 2025
Hartford, CT, USA • St Paul, MN, USA
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The goal of the Business Insights & Analytics Leadership Development Program's (BI&A LDP) geospatial internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in geospatial analytics while providing a foundation for future success within Travelers.

Requirements

  • Proficiency in GIS mapping software and platforms required, ESRI ArcGIS Pro experience.
  • Proficiency in SQL Server, SQL Spatial Data Types, Python or other programming languages.
  • Familiarity with acquiring, cleaning, and modifying geospatial data.
  • 1- 2 years of experience with GIS principles and practices in a college setting.

Responsibilities

  • As a Geospatial Intern within the Business Insights & Analytics Leadership Development Program, your potential will be unlocked through robust projects, planful training, helpful development resources (Peer Advisors & Mentors) and engaging with your cohort of peers.
  • You'll create, analyze, and interpret spatial data to support business needs.
  • Intern work can range across a broad set of experiences at Travelers that develop your knowledge of geographic information science, platform technology, statistics, spatial thinking, remote sensing, location intelligence issues, and the social/physical sciences to characterize CAT events, discover relationships and trends.
  • Perform other duties as assigned.

Other

  • Cumulative GPA of 3.0 or greater.
  • Obtained or pursuing a bachelor’s or master’s degree in Geographic Information Systems (GIS), Computer Science, Geography required.
  • Legally authorized to work in the United States now and in the future.
  • Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
  • Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.