[Hiring] Healthcare Data Science Intern @Blue Cross and Blue Shield of Louisiana

Role Description

The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. As a Healthcare Data Science Intern, you’ll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes.

• Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance.
• Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement.
• Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis.
• Partner with business stakeholders to translate analytical findings into actionable insights.
• Collaborate with IT teams to support model deployment efforts and analytic tool development.
• Document modeling methods, results, and assumptions in a clear and professional manner.
• Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics.

Qualifications

• Currently pursuing one of the following: Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field.
• Senior undergraduate, recent graduate, or graduate student.
• Coursework in machine learning, statistics, data analysis, or programming is preferred.
• Preferred GPA: 3.5+
• Minimum GPA: 3.0 cumulative GPA.

Requirements

• Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks).
• Foundational SQL skills for querying, joining, and transforming data.
• Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals).
• Introductory experience with machine learning concepts and Python-based ML libraries (e.g., scikit-learn), through coursework, projects, or internships.
• Experience using Microsoft Excel and PowerPoint to analyze data and communicate results.
• Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences.
• Effective written and verbal communication skills and ability to work collaboratively on a team.

Benefits

• Remote work opportunity – must be in an approved work from home state.
• Time commitment: 20 hours per week.