Data Science Intern

About the Role

This internship will provide advanced analytics support within the Business Analytics function, applying data and machine learning to improve business outcomes across the Health and Risk Solutions business. The role involves working closely with other teams, including functional teams and analytic agile squads supporting AI use cases. This position reports to the Director of Advanced Analytics Transformation and offers the opportunity to work alongside experienced Data Scientists on high-impact projects.

Key Responsibilities

• Support the application of data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and visualization.
• Collaborate with the team to develop, validate, and maintain high-quality, robust predictive models and AI solutions.
• Utilize multiple sources of data, including structured and unstructured data, along with a variety of machine learning techniques to improve model performance and interpretability.
• Follow team standards for writing, organizing, and documenting code to ensure project work is reproducible and easy to understand.
• Interpret data and model outputs to generate clear actionable insights and recommendations that drive business decisions.
• Assist in the development and monitoring of predictive models and AI solutions to support pricing, underwriting, and clinical review processes.
• Apply machine learning techniques to explore ways to streamline and automate aspects of these processes.
• Other duties as assigned.

Requirements & Tech Stack

• Currently enrolled in an accredited college or university during the time of internship (June 2027 – August 2027).
• Must be an undergraduate or graduate student in a statistical, mathematical, or technical field (e.g., Data Science, Computer Science, Statistics, or Actuarial Science).
• Eligible to legally work in the United States.
• Ability to work full-time (40 hours/week) during the intern session.
• This internship will be hybrid, and interns must be located near one of our US based offices – Wellesley, MA; Kansas City, MO; Hartford, CT; Portland, ME; Milwaukee, WI.

Qualifications

• Strong academic foundation in developing and implementing data science techniques.
• Strong knowledge of statistical and data science techniques, including machine learning, data visualization, and experience with databases.
• Proficiency in Python and SQL for data manipulation, modeling, and automation.
• Experience with machine learning frameworks and libraries.
• Commitment to data compliance, model governance, and security protocols.
• Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience.
• Experience with generative AI, including prompt engineering, RAG workflows, and integrating LLMs into business processes, is a plus.