Data Science & Predictive Modeling Intern - Summer 2027

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

Job summary

Highmark Health in the United States offers a Summer 2027 Predictive Modeling & Data Science Graduate Internship to give graduate students hands-on experience building advanced analytics solutions that support business decisions and strategic initiatives.

As a member of the advanced analytics team, you will collaborate with data scientists and business partners to design, develop, and evaluate analytical solutions, applying statistical and machine learning methods and translating findings into

Qualifications

• 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 with large or complex datasets via academic research, internships, or coursework.
• Familiarity with programming and analytical tools commonly used for data science and statistical modeling.

Responsibilities

• Communicate effectively with colleagues and stakeholders on analytical findings.
• Support predictive model development and data preparation.
• Develop data visualizations and present analytical results to diverse audiences.
• Contribute to end-to-end analytics lifecycle from data exploration to result delivery.

Skills

Data science

Statistics

Analytics

Machine learning

Programming

Education

Bachelor’s degree

Pursuing graduate degree

Job description

Highmark Health in the United States offers a Summer 2027 Predictive Modeling & Data Science Graduate Internship to give graduate students hands-on experience building advanced analytics solutions that support business decisions and strategic initiatives.

As a member of the advanced analytics team, you will collaborate with data scientists and business partners to design, develop, and evaluate analytical solutions, applying statistical and machine learning methods and translating findings into