Data Science Intern

Whowe 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, wepossessan 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. 

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'refocused 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, andwe'relooking 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 andobjectives

• Use programming skills, predictive/statisticalmodelingand analysis to analyze large volumes of structured and unstructured data,determineanalytical 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 to improve the quality of health care, lower costs, and help our members and customers achieve their best health

Required Qualifications

• Meet educational requirements (see Education section)

• Knowledge of data science techniques including statistical analysis and modeling

• Experience in R or Python 

• Experience inSQL

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 aBachelor’sdegree program withan expectedgraduation date between December 2026andJune2027

• Preferred majors include Statistics, Biostatistics, Mathematics, Data Science, Economics/Econometrics,