The board
- Hours
- Full time
- Where
- Hartford, CT
- Apply by
- End Date: October 17, 2026
- Posted
- Sep 17
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 an 11-week Data Science Summer Internship Program beginning in May 2027 designed 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.
What you'd do
- Assist in creating statistical models, machine learning models, and AI workflows to 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
What they want
- 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 Data Science, Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Computer Science, or a similar analytical field
- Experience in statistical modeling, inference, and building machine learning algorithms using Python
- 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 building modeling solutions in cloud-native environments, such as AWS Sagemaker or GCP Agent Platform, a plus
- Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation a plus
- Exposure to SQL and navigating databases to extract relevant attributes a plus
- Exposure to Unix and Git a plus
- Starts
- 2026-09-17