Blue Cross and Blue Shield of Nebraska is seeking to optimize business processes and customer experiences through data analytics, data science, and data governance. The organization aims to leverage artificial intelligence and machine learning to solve real-world data problems and enhance predictive analytics and automation.
Requirements
- Advanced experience in Microsoft Excel.
- Knowledge of Power BI, R, and/or SQL.
- Interest in AI/ML concepts such as supervised learning.
- Familiarity with Python, Databricks, and cloud platforms (Azure, AWS, or GCP).
- Curiosity about ethical AI, model interpretability, and responsible data use.
- Desire for growth and advancement in the area of Data Analytics, Data Science, and Governance.
- Excellent communication skills.
Responsibilities
- Apply artificial intelligence and machine learning techniques to real-world data problems using modern platforms like Databricks Genie.
- Build and deploy machine learning models using Python, Spark, and ML flow within Databricks.
- Explore generative AI capabilities and integrate them into analytics workflows.
- Collaborate with data scientists and engineers to enhance predictive analytics and automation.
- Serve on a highly collaborative team delivering health data analytics and informatics for groups, providers, members, and internal leadership.
- Use technologies such as Power BI, R, Excel, and SQL to solve puzzles and tell a consistent data story.
- Learn about and apply principles of data governance, including enforcement of data management standards, documentation of metadata, and application of data quality measures.
Other
- Be enrolled full-time in college pursuing a degree (preferably in Management Information Systems, Data Analytics, Computer Science, Mathematics, Statistics, Business Administration).
- Live within commuting distance from June 1, 2026 – July 31, 2026.
- Work a hybrid schedule, spending some days on-site at the Omaha office.
- Intellectual curiosity and willingness to learn.
- A positive attitude and desire to have fun at work.
