Internship - Data Science

Job Title:

Number of Positions:

Location:

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Job Summary:

As a Data Science Intern, you will:

• Collaborate with our Data Science team to develop statistical models and machine learning algorithms

• Analyze, visualize, and extract insights from real-world healthcare data, including claims, eligibility, provider, and utilization datasets

• Communicate your findings through visual storytelling, dashboards, and presentations tailored for both technical and business stakeholders

• Contribute to high-impact projects that directly support better patient outcomes, operational efficiency, and cost containment

• Strengthen your ability to explain technical concepts in the context of business needs.

A successful candidate will:

• Are curious, self-driven, and motivated to solve problems that impact millions of members and providers

• Enjoy working in collaborative, cross-functional teams (e.g., with Actuarial, Provider Relations, and IT)

• Have experience working with healthcare or insurance-related data (preferred but not required)

• Are comfortable programming in Python, R, or similar languages and using SQL for data querying and Tableau (or similar) for data visualization.

• Understand foundational math concepts in statistics, linear algebra, and calculus, and are excited to apply them in a healthcare setting

#LI-Hybrid

Minimum Requirements:

• Currently enrolled in an undergraduate or graduate program in Data Science, Computer Science, Statistics, Public Health, Health Informatics, or a related field

• Completed at least one course or equivalent hands-on experience in:

  • Programming (Python, R, Java, C++, MATLAB, etc.)

  • Applied statistics, linear algebra, and/or calculus

• Familiarity with healthcare data (e.g., CDT codes, claims formats, or EDI standards) or cloud tools (e.g., AWS, GCP) is a plus

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.