Innovation & Technology Internship - Data Science - Summer 2027 (Graduate)

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:

The Innovation & Technology - Data Science Internship is a 10.5-week full-time opportunity that begins on May 24th, 2027, and concludes on August 4th, 2027.

This is a hybrid position based in New York, NY, with three in-office days per week, generally Tuesday, Wednesday, and Thursday. The remaining two days may be worked remotely from home or another location of your choice. CVS Health follows a hybrid work model that provides office-based colleagues with flexibility between working in the office and remotely based on the work they need to accomplish.

Relocation assistance will be provided for candidates who need to relocate more than 50 miles.

As a CVS Health Corporate intern, you will participate in:

• Projects that contribute to the success of our business

• Community service activities

• Professional development workshops

• Mentorship and networking opportunities

• Interaction with senior leaders
  

Your Innovation & Technology internship experience will also include:

• Leadership Insight Series, featuring leader spotlights and interactive Q&A sessions

• Intern Innovation Challenge, providing opportunities to collaborate with fellow interns across Innovation & Technology

• Additional learning experiences focused on topics such as impactful presentations and storytelling, emerging technology, and AI tools

The hourly rate is $51.60, based on a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday. Additionally, our corporate interns have an increased likelihood to receive an offer for a future role with CVS Health.

Sponsorship:

Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

About this business area:

CVS Health's Analytics & Behavior Change (A&BC) team is an innovation engine that helps turn data into better decisions, experiences, and outcomes. Leveraging one of the nation's largest and most diverse health care data ecosystems, our teams apply advanced analytics, machine learning, behavioral science, and AI to solve complex business and health care challenges. From improving patient outcomes and advancing health equity to enhancing digital experiences and driving enterprise value, A&BC's work helps shape the future of health care.

Our focus areas include:

• Personalized Consumer Experiences & Behavior Change

• Digital Health & Omnichannel Journeys

• Provider Performance & Network Optimization

• Patient Safety & Clinical Insights

• Enterprise Cost Management & Value Creation

• Care Management & Health Equity

• Fraud, Waste, and Abuse Prevention

As a Data Science intern, you'll apply statistical methods and machine learning to real problems across the business. Working alongside experienced data scientists, engineers, and business partners, you'll analyze large datasets, build and evaluate predictive models, design experiments, and translate your findings into actionable recommendations.

You'll have opportunities to:

• Analyze structured and unstructured data to uncover patterns and insights

• Build, test, and evaluate predictive and machine learning models

• Design and analyze experiments to inform business decisions

• Create visualizations and communicate findings to technical and business audiences

• Contribute to solutions that improve health care quality, affordability, and outcomes

Required Qualifications

• Meet the educational requirements outlined in the Education section

• Knowledge of data science techniques, including statistical analysis, predictive modeling, and machine learning

• Experience using Python or R for data analysis and modeling

• Experience using SQL to query and analyze data

• Exposure to experimental design and quantitative methods, such as A/B testing and causal analysis

Preferred Qualifications

• Familiarity with machine learning libraries and frameworks, such as scikit-learn, for building and evaluating models

• Experience analyzing large, complex datasets to identify patterns and insights

• Strong problem-solving and critical-thinking skills applied to ambiguous or open-ended analytical questions

• Experience communicating analytical findings through data visualizations, written summaries, and presentations to support decision-making

• Ability to clearly explain technical concepts and their implications to both technical and non-technical audiences

Education

• Currently pursuing a Master's degree with an expected graduation date between December 2027 and June 2028

• Preferred fields of study include Statistics, Biostatistics, Mathematics, Data Science, Health Data Science, Operations Research, or a related quantitative field.

Pay Range

The typical pay range for this role is:

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