University Relations - Provider Network Data Science Engineering Intern

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

HCSC is doinginnovative and important workto align incentives and analytics at the point of care by delivering actionable insights to providers. TheIL Provider Performance Analytics, Insightsand Data Scienceteam deliversadvanced analytics and insightsas we lead the way to improve healthcare by increasing collaboration with providers to ensure coverage that isaffordable, accessible, appropriate, effective, and equitable. An ideal candidate will be interested in a role working toleverage analytics, data engineering and/or data science in pursuit ofbetter healthcare outcomes for the community.

What Are Your Responsibilities?

As an intern, you will work to find innovative solutions to existing or emerging healthcare challenges. You will use complex healthcare data about our 17 million members and a variety of technical, analytics, data science, and visualization tools to build, deploy and enable predictive models and generate and deliver insights and advanced analytics.

What skills will make you successful in this internship?

• Preferred: Familiar with Python, or other languages commonly used for data science

• Preferred: Experience with SQL, Hive, or other SQL-like query languages

• Preferred: Previous healthcare, data science, or technology-related internship experience

• Preferred: Working knowledge of cloud environments such as Azure

• Knowledge and familiarity with Generative AI technologies is a strong plus.

• Strong technical foundation in analytics, computer science or data science is a strong plus.

• Curiosity and a desire to make a substantive impact in healthcare industry is a strong plus.

• Education or experience with machine learning, statistical analysis, and data visualization practices

• Analytical mindset and excellent problem-solving skills

• Enthusiasm to enhance your own professional and personal development.

• Entrepreneurial and innovation mindset

• Initiative to handle business problems.

• Strong communication and presentation skills

• Strategic thinker who can effectively synthesize ideas and convey complex information to variety of audiences.

What Are the Requirements You Must Meet?

• Enrolled in a master's or Ph.D. program in an Analytic, Quantitative, Computational, Engineering, or related field.

• Graduation date between December 2025 - June 2026

• A minimum GPA of 3.0/4.0

• Availability to work 10 weeks during the summer (June 2025 - August 2025)

• Unrestricted authorization to work in the United States (Currently, we are not offering this position with a student visa including F1, OPT, CPT or H1B and are not accepting or sponsoring student work visas for this role)

What Does the Data Science Internship Program Entail?

• Coffee chats with data science leaders' social events with the broader data science community

• An experienced data scientist assigned to you as a mentor.

• Formal Intern Orientation to build business and industry acumen.

• Challenging real-world hands-on projects

• Weekly networking opportunities among interns and company leaders

• Professional development workshops

• Business Resource Group involvement

• Volunteer activities

We encourage people of all backgrounds and experiences to apply. Even if you don't think you are a perfect fit, apply anyway - you might have qualifications we haven't even thought of yet.

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Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

We are an Equal Opportunity Employment / Affirmative Action employer dedicated to providing an inclusive workplace where the unique differences of our employees are welcomed, respected, and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.