Graduate Data Science & Predictive Analytics Intern

Highmark Health

West Virginia

On-site

USD 24,000 - 32,000

Part time

7 days ago
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Job summary

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship to graduate students eager to apply analytics to business decisions. You will work with data scientists and partners to develop predictive models, analyze datasets, and visualize results to support data‑driven decisions.

Responsibilities include exploratory analysis, model development, data preparation, and presenting findings, while gaining exposure to end‑to‑end analytics processes and emerging

Qualifications

  • Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or related quantitative field.
  • Bachelor’s degree completed; pursuing graduate degree full or part‑time in an accredited college or university.
  • Experience with predictive modeling, ML, statistical analysis, or advanced analytics.
  • Familiarity with programming and analytical tools used in data science and statistical modeling.
  • Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation.
  • Ability to develop data visualizations and present analytic findings to diverse audiences.

Responsibilities

  • Conduct exploratory and statistical analyses.
  • Support predictive model development and evaluation.
  • Prepare and transform data for analysis.
  • Create data visualizations and communicate findings to stakeholders.
  • Contribute to end‑to‑end analytics lifecycle from question to delivery.

Skills

Data Science
Statistics
Analytics
Machine Learning
Data Visualization
Python
R
SQL

Education

Bachelor’s degree
Graduate degree (pursuing)

Tools

Jupyter
Tableau

Job description

Highmark Health is offering a Summer 2027 Predictive Modeling & Data Science Graduate Internship to graduate students eager to apply analytics to business decisions. You will work with data scientists and partners to develop predictive models, analyze datasets, and visualize results to support data‑driven decisions.

Responsibilities include exploratory analysis, model development, data preparation, and presenting findings, while gaining exposure to end‑to‑end analytics processes and emerging

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