Graduate Data Science & Predictive Analytics Intern

Highmark Health; Wyoming (MI); On-site; USD 34,000 - 55,000; Full time

Job summary

Highmark Health's Summer 2027 Predictive Modeling & Data Science Graduate Internship offers hands-on experience developing analytics and machine learning solutions that support meaningful business decisions, processes, and strategic initiatives. Interns work with the advanced analytics team to design, develop, evaluate models, visualize results, and translate findings for business audiences.

The program emphasizes mentorship, cross-functional collaboration, and project-based learning to build a

Qualifications

• Bachelor's degree required.
• Pursuing a graduate degree in Data Science or related field encouraged.

Responsibilities

• Communicate effectively with colleagues and stakeholders to plan assignments and resolve issues.
• Under supervision, provide professional services aligned with day-to-day objectives and receive mentorship from senior personnel.
• Undertake and participate in projects to develop professional skills and expertise.
• Participate in planning and implementation of unit projects within area of expertise.
• Conduct research and prepare reports with recommendations or alternatives for action as requested by management.
• Engage in related studies or enrichment programs aligned with objectives of the unit.
• Perform miscellaneous job-related duties as assigned.

Skills

Data science concepts

Statistical analysis

Machine learning

Data visualization

Programming (Python/R)

Education

Bachelor's degree

Job description

Highmark Health's Summer 2027 Predictive Modeling & Data Science Graduate Internship offers hands-on experience developing analytics and machine learning solutions that support meaningful business decisions, processes, and strategic initiatives. Interns work with the advanced analytics team to design, develop, evaluate models, visualize results, and translate findings for business audiences.

The program emphasizes mentorship, cross-functional collaboration, and project-based learning to build a