Intern - Data Science

The Hartford is offering an 11-week Data Science Summer Internship Program beginning in May 2026designed to prepare you for a challenging and rewarding Data Science career.

As a Data Scientist Intern, you will develop machine learning and artificial intelligence solutions across a range of strategic initiatives. Additionally, you will have opportunities to network across all levels of our Data Science & Analytics community, collaborate with teammates on learning opportunities like Capstonesand Hackathons, attendsocial events, and discussions withleaders via one-on-ones andpanels.To accelerate your project work, we also provide on-the-job training in insurance,AWS developmentenvironmentsfor datascience, and modeling/machine learning techniques as needed.

The Hartford is proud to offer a hybrid work location model that is designed to support flexibility and collaboration, where you will work in an office (CT- Hartford, NC- Charlotteor IL- Chicago) on Tuesday, Wednesday, and Thursday with remote flexibility on Monday and Friday.

Responsibilities:

• Assist in creating statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems

• Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations

• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

• Participate in the creation and deployment of long-term tools to continually evolve the business

• Contribute to the successful implementation of strategies to achieve targeted business objectives

• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise

• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function

• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions

• Prepare and deliver presentations that translate data-driven insights, model results, and recommendations to varying business partners

• Document work clearly to ensure effective knowledge sharing within the team

Requirements: 

• Must be authorized to work in the United States without sponsorship now, or in the future

• Must be working towards a Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field

• Strong communication skills for explaining methodologies, visualizations, and recommendations to non-technical audiences and vice versa

• Able to maintain organized project notes, version history, and technical documentation for team reference

• Exposure to statistical modeling, inference, and building machine learning algorithms in an analytical programming language like Python or R

• Exposure to building modeling solutions in cloud-native environments, such as Sagemaker, a plus

• Exposure to SQL and navigating databases to extract relevant attributes a plus

• Exposure to Unix and Git a plus