Innovation & Technology Internship

About the Role

The Innovation & Technology - Data Science Internship is a 10.5-week full-time opportunity.

• Dates: May 24th, 2027 - August 4th, 2027
• Location: New York, NY (Hybrid: 3 days in-office, 2 days remote)
• Hourly Rate: $51.60 (based on a 40-hour workweek)
• Paid Leave: 2 days
• Holiday: July 4th (company holiday, no work)
• Sponsorship: Work visa sponsorship is not available.

Internship Experience

• Participate in projects that contribute to business success.
• Engage in community service activities.
• Attend professional development workshops.
• Benefit from mentorship and networking opportunities.
• Interact with senior leaders.
• Leadership Insight Series: Featuring leader spotlights and interactive Q&A.
• Intern Innovation Challenge: Collaborate with fellow interns across Innovation & Technology.
• Additional learning experiences focused on:
• Impactful presentations and storytelling
• Emerging technology
• AI tools

About This Business Area

CVS Health's Analytics & Behavior Change (A&BC) team is an innovation engine that leverages data to improve decisions, experiences, and outcomes. The team applies advanced analytics, machine learning, behavioral science, and AI to solve complex business and health care challenges.

A&BC Focus Areas

• 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

Key Responsibilities

As a Data Science intern, you will apply statistical methods and machine learning to real problems across the business, working alongside experienced data scientists, engineers, and business partners.

• Analyze large datasets, including 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.

Requirements & Tech Stack

• Data Analysis & Modeling Tools:
• Python or R for data analysis and modeling.
• SQL to query and analyze data.
• Statistical Methods:
• Knowledge of statistical analysis, predictive modeling, and machine learning.
• Exposure to experimental design and quantitative methods, such as A/B testing and causal analysis.
• Machine Learning Libraries/Frameworks: Familiarity with libraries/frameworks such as scikit-learn is preferred.
• Data Handling: Experience analyzing large, complex datasets to identify patterns and insights is preferred.
• Problem Solving: Strong problem-solving and critical-thinking skills applied to ambiguous or open-ended analytical questions are preferred.
• Communication:
• Experience communicating analytical findings through data visualizations, written summaries, and presentations is preferred.
• Ability to clearly explain technical concepts and their implications to both technical and non-technical audiences is preferred.

Qualifications

• Currently pursuing a Master's degree with an expected graduation date between December 2027 and June 2028.
• Preferred fields of study: Statistics, Biostatistics, Mathematics, Data Science, Health Data Science, Operations Research, or a related quantitative field.

Benefits

This full-time position is eligible for a comprehensive benefits package, including:

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources (based on eligibility)