Data Science Intern - Hybrid Summer ML & AI Projects

Hartford; Connecticut; Hybrid; USD 34,000 - 55,000; Full time

Job summary

The Hartford is offering an 11-week Data Science Summer Internship beginning May 2027. As a Data Scientist Intern, you will develop ML/AI solutions across strategic initiatives and present to senior leaders. Hybrid work model includes in-office Tue–Thu in Hartford, CT, with remote Mondays and Fridays.

You will gain on-the-job training in insurance, cloud environments, and modeling techniques, and you’ll work with the Data Science & Analytics community across levels.

Qualifications

• Must be authorized to work in the United States without sponsorship.
• Pursuing a Master’s or Ph.D. in a quantitative field (Data Science/Statistics/Applied Math/CS).
• Experience in statistical modeling, inference and ML using Python.
• Strong communication skills to explain methodologies and results to non-technical audiences.
• Experience with cloud-native environments (AWS SageMaker or GCP) is a plus.

Responsibilities

• Assist in creating statistical models, ML models, and AI workflows to solve business problems.
• Participate in reviews with business partners to calibrate deliverables.
• Identify and assess value of new data sources and analytical techniques.
• Develop long-term tools to evolve the business.

Skills

Python

Statistical modeling

Machine learning

Data visualization

SQL

Unix

Git

Education

Master’s or Ph.D. in Data Science/Statistics/Applied Mathematics/Quantitative Economics/Actuarial Science/Computer Science

Tools

AWS SageMaker

GCP

Job description

The Hartford is offering an 11-week Data Science Summer Internship beginning May 2027. As a Data Scientist Intern, you will develop ML/AI solutions across strategic initiatives and present to senior leaders. Hybrid work model includes in-office Tue–Thu in Hartford, CT, with remote Mondays and Fridays.

You will gain on-the-job training in insurance, cloud environments, and modeling techniques, and you’ll work with the Data Science & Analytics community across levels.