Graduate Data Science & Predictive Modeling Intern

Highmark Health; Salem (NH); On-site; USD 28,000 - 41,000; Full time

Job summary

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship designed for students passionate about using data, statistics, and machine learning to drive business decisions. Interns work with experienced data scientists to design, develop, and evaluate analytics solutions addressing real-world challenges.

You will gain hands-on experience across exploratory analysis, feature engineering, model development, evaluation, and results visualization, with mentorship

Qualifications

• Bachelor’s degree completed or underway in a quantitative field.
• Graduate degree full- or part-time in a related discipline preferred.
• Strong foundation in statistics and data science concepts.
• Experience with predictive modeling, ML, and analytics is beneficial.
• Experience handling large datasets in research or industry settings.
• Ability to translate business questions into analytical approaches.
• Comfort presenting findings to technical and non-technical audiences.

Responsibilities

• Conduct exploratory analysis and statistical assessments to inform business decisions.
• Support development of predictive models and data-driven solutions.
• Prepare and transform data for modeling and visualization.
• Evaluate model results and iterate to improve performance.
• Create visualizations and communicate insights to stakeholders.
• Research new analytical approaches and tools.
• Collaborate with cross-functional teams on analytics projects.

Skills

Data science

Machine learning

Statistics

Data visualization

Education

Bachelor’s degree

Graduate degree pursuit

Tools

Programming familiarity

Analytical tools

Job description

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship designed for students passionate about using data, statistics, and machine learning to drive business decisions. Interns work with experienced data scientists to design, develop, and evaluate analytics solutions addressing real-world challenges.

You will gain hands-on experience across exploratory analysis, feature engineering, model development, evaluation, and results visualization, with mentorship