Business Insights & Analytics Leadership Development Program; BI&A LDP) Geospatial Intern

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range $28.00 - $30.00

Target Openings 4

Applicants must be authorized to work for any employer in the U.S. now and in the future. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role. Applications for this posting will be reviewed on a rolling basis beginning in early-mid September. At Travelers, our vision is to advance our ability to fuel analytic-driven business decisions by accelerating cross-enterprise collaboration and capabilities.

The Business Insights & Analytics Leadership Development Program (BI&ALDP) internship is built for analytically driven students who are serious about launching a career in data and analytics. This is not a passive, observational internship — you will do real work, solve real business problems, and be evaluated like a professional from day one. Over 10 weeks, you and your cohort of peers will be embedded in Travelers' data and analytics community, gaining hands-on experience in one or more of our core analytics disciplines while building the technical and professional skills that define a successful career.

Technical training is delivered to you by current full-time BI&ALDP participants — those who were recently in your position — giving you an authentic, peer-informed perspective on what it takes to grow here.

The internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our business units and corporate departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available from June through early August.

Real project work aligned to active business needs across Travelers' analytics functions. Technical training taught by full-time BI&ALDP participants. Formal performance reviews that give you honest, structured feedback on your growth. Leadership exposure through company-wide events including the Intern Symposium and community outreach initiatives, where you will interact with leaders and a cohort across the enterprise. A collaborative capstone presentation where you and your fellow interns develop and present solutions to relevant business and analytics challenges.

Leverage modern analytical and artificial intelligence (AI) tools/platforms with the ability to apply critical thinking to evaluate limitations related to quality and accuracy of AI-assisted outputs. At the close of the internship, top-performing interns are eligible to interview for a full-time offer to join the BI&ALDP — making these 10 weeks one of the most important career opportunities of your academic journey.

Perform other duties as assigned.

• Cumulative GPA of 3.2 or greater preferred.
• Obtained or pursuing a bachelor's or master's degree in Geographic Information Systems (GIS), Computer Science or Geography.
• Exposure to ESRI ArcGIS Pro and other GIS mapping software and platforms.
• Comfortable with using Python.
• Experience with spatial statistics, including working knowledge of map projects and coordinate system variations.
• Data warehouse and ETL understanding with Python, SQL, and/or…