Graduate Data Science & Predictive Modeling Intern

Highmark Health; Indianapolis (IN); On-site; USD 28,000 - 41,000; Part time

Job summary

Highmark Health is offering the Summer 2027 Predictive Modeling & Data Science Graduate Internship. It provides hands-on experience in analytics, reporting, and ML-driven insights.

Interns work with data scientists and business partners to build and evaluate models across the analytics lifecycle. The program emphasizes translating analytical findings into business actions, exploring new data sources, and developing practical data visualizations.

Qualifications

• Bachelor’s degree required.
• Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or related quantitative field.
• Coursework, research, or projects in predictive modeling, ML, statistics, or advanced analytics.
• Experience with large/complex datasets in academic, internship, or professional settings.
• Familiarity with programming and data-science tools and workflows.
• Experience with data preparation, EDA, feature engineering, and model evaluation.
• Ability to develop data visualizations and present findings to diverse audiences.

Responsibilities

• Communicate findings effectively to technical and business audiences.
• Under supervision, contribute to day-to-day analytics objectives.
• Participate in projects to build analytical solutions and support business questions.
• Assist in planning and implementing unit projects and initiatives.
• Conduct research and prepare reports with recommendations for action.
• Engage in enrichment programs to develop professional analytics skills.

Skills

Statistical analysis

Machine learning

Data visualization

Programming (Python/R)

Data wrangling

Education

Bachelor's degree

Tools

Python

R

SQL

Job description

Highmark Health is offering the Summer 2027 Predictive Modeling & Data Science Graduate Internship. It provides hands-on experience in analytics, reporting, and ML-driven insights.

Interns work with data scientists and business partners to build and evaluate models across the analytics lifecycle. The program emphasizes translating analytical findings into business actions, exploring new data sources, and developing practical data visualizations.