Data Science Graduate Internship - Summer 2025

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better.

Position Summary
This program is a 11-week full-time opportunity that provides real work experience with a team in your business area. You will be aligned to projects to lead or contribute to while also participating in networking, development, and career exploration activities. Our Corporate Interns can apply for future full-time roles during the program and have an increased likelihood to receive an offer for a post-graduation role.

The summer internship program is from May 28th – August 8th 2025. 

CVS Health follows a 3 day in office (generally Tuesday, Wednesday, and Thursday) hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. The other 2 days each week will be working remotely from home, office, or another location of your choice. 

Our office locations are currently expected to be: New York City, NY or Wellesley, MA. A housing stipend will be provided, and interns will be given the opportunity to connect with each other prior to the start of the program to coordinate housing if desired.

The hourly rate is $55 per hour with 40 hours/ week, no work on July 4th (company holiday), and two days of paid leave.  Please disregard the range listed below.

Who we are    

We are Americas leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. At CVS Health, we possess an extensive repository of data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Scientists and Engineers. In this role, your work will underpin data driven business decisions and contribute to our mission of delivering the industry’s best data products with a customer first mindset and team-oriented approach.

About the Business Area

Our organization, Analytics & Behavior Change, is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as:

Customer experience and behavior change

Digital health

Provider efficiency and effectiveness

Patient safety

Health care cost savings

Clinical services/Care management

Fraud, waste, and abuse detection/prevention

Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care….one line of code at a time.

What you will do   

Work with analytics teams and our business partners to understand their goals and objectives 

Use programming skills, predictive/statistical modeling and analysis to analyze large volumes of structured and unstructured data, determine analytical approaches, and evaluate potential outcomes

Generate insights connecting analytical results with business problems/goals and present recommendations to internal teams and business partners 

Help design programs/campaigns that improve the quality of health care, lower costs, and help our members and customers achieve their best health

Work visa sponsorship is available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

Required Qualifications 

Meet educational requirements (see Education section) 

Knowledge of data science techniques including statistical analysis and modeling 

Experience in R or Python 

Experience in SQL 

Internship or work experience in a related field

Preferred Qualifications   

Excellent problem solving and critical thinking ability 

Strong written and verbal communication skills 

Ability to clearly present technical concepts and implications to both technical and non-technical audiences

Education 

Currently pursuing a Master’s degree program with an expected graduation date between December 2025 and August 2026 

Preferred majors include Statistics, Biostatistics, Mathematics, Data Science, Health Data Science, Operations Research