Graduate Data Science & Predictive Modeling Intern

Highmark Health; North Dakota; On-site; USD 28,000 - 41,000; Part time

Job summary

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship in the United States. The role focuses on applying statistics, machine learning, and analytics to business challenges, with mentorship from senior data scientists and collaboration across business partners.

Interns will contribute to end-to-end analytics, from question framing and data exploration to model development, evaluation, visualization, and delivery of insights that drive decisions.

Qualifications

• Bachelor’s degree in a quantitative field or related discipline.
• Pursuit of a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or related field.
• Experience with predictive modeling, machine learning, or advanced analytics.
• Familiarity with programming and analytical tools used in data science and statistics.
• Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation.

Responsibilities

• Conduct exploratory and statistical analysis to inform business decisions.
• Support development of predictive models and evaluate model performance.
• Prepare and transform data for analysis and modeling.
• Create data visualizations and communicate findings to technical and business audiences.
• Translate business questions into analytical approaches and actionable recommendations.

Skills

Data Science

Statistics

Analytics

Mathematics

Computer Science

Predictive Modeling

Machine Learning

Data Visualization

Programming

Python

R

SQL

Data Visualization tools

Education

Bachelor’s degree

Pursuing a graduate degree (full or part-time)

Tools

Python

R

SQL

Data Visualization tools

Job description

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship in the United States. The role focuses on applying statistics, machine learning, and analytics to business challenges, with mentorship from senior data scientists and collaboration across business partners.

Interns will contribute to end-to-end analytics, from question framing and data exploration to model development, evaluation, visualization, and delivery of insights that drive decisions.