Graduate Data Science & Predictive Modeling Intern

Highmark Health

South Dakota

On-site

USD 25,000 - 44,000

Part time

6 days ago
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Job summary

Highmark Health is offering the Summer 2027 Predictive Modeling & Data Science Graduate Internship to graduate students. You will gain hands-on experience developing analytics solutions that support meaningful business decisions, processes, and strategic initiatives.

This role focuses on applying statistics and machine learning to real problems. As a member of the advanced analytics team, you will help design, develop, and evaluate analytical solutions addressing real-world business challenges.

Qualifications

  • Bachelor’s degree required; pursuing graduate degree preferred.
  • Graduate degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science encouraged.
  • Experience with data analysis and modeling in academic, internship, or professional settings.

Responsibilities

  • Communicate findings to technical and business audiences.
  • Assist in designing and evaluating predictive models.
  • Prepare and transform data for analyses and modeling.
  • Develop visualizations to illustrate results and insights.
  • Collaborate with team and stakeholders to inform decisions.
  • Document methodologies and results for reproducibility.
  • Support end-to-end analytics lifecycle from data exploration to delivery.

Skills

Statistical analysis
Machine learning basics
Data visualization
Programming fundamentals

Education

Bachelor’s degree
Graduate degree in Data Science/Statistics/Analytics/Math/CS

Tools

Python
R
SQL

Job description

Highmark Health is offering the Summer 2027 Predictive Modeling & Data Science Graduate Internship to graduate students. You will gain hands-on experience developing analytics solutions that support meaningful business decisions, processes, and strategic initiatives.

This role focuses on applying statistics and machine learning to real problems. As a member of the advanced analytics team, you will help design, develop, and evaluate analytical solutions addressing real-world business challenges.

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