Graduate Data Science & Predictive Modeling Intern

Highmark Health; Las Vegas (NV); On-site; USD 30,000 - 39,000; Full time

Job summary

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship to gain hands-on experience in analytics and ML. You'll work with data scientists and business partners to design, develop, and evaluate models that support data‑driven decisions.

Participants will explore end‑to‑end analytics—from question understanding to data discovery, model development, evaluation, visualization, and delivery of findings, while strengthening technical, analytical, and

Qualifications

• Bachelor’s degree in a quantitative field or related area.
• Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, CS, or similar.
• coursework, research, or project experience with predictive modeling or ML.
• Experience handling large/complex datasets and data preparation.

Responsibilities

• Conduct exploratory and statistical analysis to address business questions.
• Support predictive model development and evaluation.
• Prepare and transform data for modeling and visualization.
• Create data visualizations and present findings to diverse audiences.
• Research new analytical approaches and emerging techniques.
• Communicate recommendations and insights to technical and business partners.

Skills

Statistical analysis

Machine learning

Data visualization

Programming with Python

Programming with R

SQL querying

Communication skills

Education

Bachelor’s degree

Pursuing graduate degree (full or part-time)

Tools

Python

R

SQL

Jupyter

Job description

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship to gain hands-on experience in analytics and ML. You'll work with data scientists and business partners to design, develop, and evaluate models that support data‑driven decisions.

Participants will explore end‑to‑end analytics—from question understanding to data discovery, model development, evaluation, visualization, and delivery of findings, while strengthening technical, analytical, and