CVS Health is hiring a graduate Data Science intern for its Analytics & Behavior Change team. The intern will use statistical methods and machine learning to analyze data, develop and evaluate models, design experiments, and communicate actionable findings that address business and health care challenges.
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
Qualification
Required
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
Currently pursuing a Master's degree with an expected graduation date between December 2027 and June 2028
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
Preferred
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
Preferred fields of study include Statistics, Biostatistics, Mathematics, Data Science, Health Data Science, Operations Research, or a related quantitative field
Benefits
Hybrid work: 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.
Relocation assistance for candidates who need to relocate more than 50 miles.
Community service activities.
Professional development workshops.
Mentorship and networking opportunities.
Interaction with senior leaders.
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 impactful presentations and storytelling, emerging technology, and AI tools.
Two days of paid leave.
No work on the July 4 company holiday.
For this full-time position, subject to eligibility: medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; and other resources.
CVS Health is a health solutions company that provides an integrated healthcare services to its members.