Summer 2026 Data Analytics Graduate Intern - Remote

About the Role

We are excited to announce an opportunity for a Summer 2026 Data Analytics Graduate Intern - Remote at Highmark. This role is designed for graduate students who are eager to gain hands-on experience in the field of data analytics, particularly in healthcare. As a Data Analytics Graduate Intern, you will work closely with Senior Data Scientists to support Highmark's Fraud, Waste, and Abuse identification efforts through the analysis of complex healthcare claims data. This internship will provide you with valuable insights into the healthcare analytics field while allowing you to develop your analytical skills.

What You'll Do

• Collaborate with senior team members on fraud detection initiatives.
• Develop and optimize SQL queries to extract data from databases.
• Analyze large datasets to identify patterns and anomalies.
• Utilize statistical methods and machine learning algorithms to enhance fraud detection.
• Assist in developing analytical models for fraud detection.
• Prepare and present findings to stakeholders effectively.
• Gain practical experience in the healthcare analytics field.
• Receive training and mentoring from senior personnel.
• Participate in projects to develop professional skills.
• Adhere to ethical and legal standards in data handling.

Requirements

• Bachelor’s degree required; pursuing a graduate degree in an accredited institution.
• Experience analyzing large datasets preferred.
• Effective communication skills are essential.
• Ability to work under supervision and collaborate with teams.
• Interest in healthcare and fraud detection analytics.

Nice to Have

• Familiarity with data visualization tools.
• Knowledge of programming languages such as Python or R.
• Previous internship experience in data analytics.

What We Offer

• Hands-on training in data analytics.
• Exposure to various career opportunities in the field.
• Mentorship from experienced professionals.
• Opportunity to work on meaningful projects.
• Networking opportunities within the organization.