CW Healthcare Data Science Intern at Louisiana Blue in Remote

Summary: Louisiana Health Service & Indemnity Company is seeking a Healthcare Data Science Intern to join their Healthcare Analytics & Data Science team. This role involves supporting data exploration, model development, and the creation of AI/ML solutions to enhance organizational performance and member outcomes. 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 Required 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 - 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 - Minimum: 3.0 cumulative GPA Preferred Qualifications: - Coursework in machine learning, statistics, data analysis, or programming is preferred - Preferred: 3.5+ GPA - 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 Required Skills: Python, Machine Learning, SQL Important Skills: Data Analysis, Statistics, Data Visualization Nice-to-Have Skills: Microsoft Excel, PowerPoint, Analytical Thinking