CW Healthcare Data Science Intern (Spring 2027)

Summary

Louisiana Blue is seeking a Healthcare Data Science Intern to support its Healthcare Analytics & Data Science team. The intern will assist with data exploration, statistical and machine learning model development, generative AI initiatives, stakeholder analytics, model deployment, and projects focused on healthcare outcomes, cost optimization, risk adjustment, and engagement analytics.

Responsibilities

• 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

Skills

• 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
• * **Minimum:** 3.0 cumulative GPA
• * 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
• * Curiosity and a proactive approach to learning new tools and technologies
• * Strong attention to detail and organization
• * Comfort working with large datasets and complex technical concepts
• * Ability to collaborate with cross functional teams, including business and IT functional teams
• * Interest in healthcare analytics, machine learning, and AI driven problem-solving
• Remote – must be in an approved work from home state (see career site)
• 20 hours per week
• Residency in or relocation to Louisiana is preferred for all positions
• * Coursework in machine learning, statistics, data analysis, or programming is preferred
• * **Preferred:** 3.5+
• * Exposure to **Databricks platform** and scalable data processing concepts (e.g., PySpark, Delta tables)
• * Familiarity with **BI and data visualization tools**, especially **Power BI** or **Tableau**, including dashboard design best practices
• * Additional experience with **advanced ML or AI frameworks** (e.g., PyTorch, TensorFlow) or **LLM/GenAI tooling** (e.g., LangChain, OpenAI APIs) through projects or experimentation
• * Awareness of **modern data platforms or lakehouse architectures** (e.g., curated vs. raw data, reproducible analytics)
• * Interest in learning how analytics connects to **internal tools or lightweight applications**, with optional exposure to APIs, VS Code, or basic front-end concepts over time

Qualifications

Must Haves

• 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
• * **Minimum:** 3.0 cumulative GPA
• * 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
• * Curiosity and a proactive approach to learning new tools and technologies
• * Strong attention to detail and organization
• * Comfort working with large datasets and complex technical concepts
• * Ability to collaborate with cross functional teams, including business and IT functional teams
• * Interest in healthcare analytics, machine learning, and AI driven problem-solving
• Remote – must be in an approved work from home state (see career site)
• 20 hours per week

Nice to Haves

• Residency in or relocation to Louisiana is preferred for all positions
• * Coursework in machine learning, statistics, data analysis, or programming is preferred
• * **Preferred:** 3.5+
• * Exposure to **Databricks platform** and scalable data processing concepts (e.g., PySpark, Delta tables)
• * Familiarity with **BI and data visualization tools**, especially **Power BI** or **Tableau**, including dashboard design best practices
• * Additional experience with **advanced ML or AI frameworks** (e.g., PyTorch, TensorFlow) or **LLM/GenAI tooling** (e.g., LangChain, OpenAI APIs) through projects or experimentation
• * Awareness of **modern data platforms or lakehouse architectures** (e.g., curated vs. raw data, reproducible analytics)
• * Interest in learning how analytics connects to **internal tools or lightweight applications**, with optional exposure to APIs, VS Code, or basic front-end concepts over time

Benefits

• Remote work arrangement for individuals in an approved work-from-home state