Fall Intern, Data Science

Student Intern - HHSIAN

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is offering a 2025 Data Science Fall Internship Program designed to prepare you for a challenging and rewarding Data Science career.

The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration. If you live 25 miles from an office location (NC- Charlotte, CT- Hartford, and IL- Chicago), you will work in an office at least 2 days a week (Tuesday/Wednesday, with remote flexibility Monday, Thursday and Friday). If beyond 25 miles from an office, this role can be 100% Remote, with the expectation of some in office presence as business needs dictate.

Responsibilities:

• Build and enhance the predictive power of existing models.
• Develop state of the art predictive models that help achieve business targets. Partner with product, underwriting, claims, actuarial and other areas to implement predictive models.
• Evaluate new internal and external data elements and technologies to be included in predictive models.
• Develop and implement new multivariate methodologies to solve practical business problems.
• Build databases to facilitate robust analyses.
• Identify relationships within data sets that can produce meaningful differentiation amongst competitors.
• Provide insight in to leading analytic practices and produce new and creative analytic solutions.
• Find patterns and insights in unstructured data.
• Project management skills to set appropriate timelines.
• Acquire industry knowledge in order to solve business questions.
• Potential for machine learning, optimization analysis, simulations research, geospatial statistics and a growing number of advanced analytic topics.

• Must be authorized to work in the United States without sponsorship now, or in the future.
• Must be working towards a master's degree or PhD in quantitative disciplines such as Data Science, Operations Research, Statistics, Business Analytics or other similar degrees.
• Experience with predictive modeling.
• Experience programming with Python or R.
• Experience with Github.