Summer 2027 Predictive Modeling & Data Science Graduate Intern

About the Role

The Summer 2027 Predictive Modeling & Data Science Graduate Internship at Highmark Health offers graduate students hands-on experience developing advanced analytics and data science solutions. This internship is for individuals passionate about using data, statistics, and machine learning to solve complex problems and translate analytical findings into actionable business insights.

Key Responsibilities

• Conduct exploratory and statistical analysis.
• Support predictive model development.
• Prepare and transform data.
• Evaluate model results.
• Create data visualizations.
• Research new analytical approaches.
• Communicate findings and recommendations to technical and business audiences.
• Undertake and/or participate in projects and programs designed to develop professional skills and expertise.
• Participate in the planning and implementation of unit projects and initiatives.
• Conduct research and reporting, inclusive of recommendations or alternative proposals for action.
• Undertake related studies or enrichment programs.
• Perform miscellaneous job-related duties as assigned.

Requirements & Tech Stack

• Applicants must be authorized to work in the U.S. independently.
• No visa sponsorship is offered for this role.
• Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or another related quantitative discipline.
• Coursework, research, or project experience involving predictive modeling, machine learning, statistical analysis, or advanced analytics.
• Experience working with large or complex datasets through academic research, internships, professional experience, or graduate coursework.
• Familiarity with programming and analytical tools commonly used for data science and statistical modeling.
• Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation.
• Experience developing data visualizations and presenting analytical findings to diverse audiences.
• Knowledge of machine learning concepts, statistical modeling techniques, and predictive analytics methodologies.
• Ability to translate business questions into structured analytical approaches and actionable recommendations.
• Interest in exploring emerging data science technologies, analytical techniques, and new sources of data.
• Demonstrated initiative, creativity, and curiosity when approaching complex analytical problems.
• Ability to communicate effectively and interact directly with colleagues, clientele, and/or other internal or external constituencies.
• Ability to provide professional services under supervision.

Qualifications

• Bachelor’s degree.
• Pursuance of a graduate degree full or part-time in an accredited college or university.