We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
Primary Job Duties & Responsibilities

Contribute to business-critical, enterprise-grade data and machine learning pipelines using modern technology and techniques.
Drive long-term improvements with a focus on simplicity, reproducibility and maintainability.
Work closely with the team to develop analytical and modelling solutions.
Assist with data preparation, exploratory analysis, feature engineering, AI model development and validation under the guidance of experienced data scientists.
Support the evaluation of model performance, including the design of appropriate metrics and the interpretation of results.
Contribute to the team by offering their unique perspectives, supporting ongoing initiatives, and acquiring valuable skills and knowledge to kick-start their professional career.
Participate in training sessions, workshops, and other learning opportunities to enhance professional skills, industry knowledge, and understanding of business operations.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics (Economics, Finance), Engineering or similar
Preferred Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics (Economics, Finance), Engineering or similar

Education
Understanding of programming languages used in data science. Ex: Python, R, SQL.
Familiarity with data manipulation and analysis libraries. Ex: pandas, NumPy, scikit-learn, matplotlib.
Familiarity with AI models such as Claude and ChatGPT.
Foundational understanding of statistics and probability, including hypothesis testing and descriptive statistics.
Ability to query and work with structured data.
Adept at problem solving and decision-making skills.
Excellent written and verbal communication, including the ability to explain analytical findings to non-technical audiences.
Proactive, self-starter who is results driven.
Strong team player and comfortable working on own initiative. 

Pay Range

The typical pay range for this role is: