The Cigna Group and its subsidiary Evernorth are seeking to develop future analytics leaders to solve healthcare's greatest challenges using data, analytics, and artificial intelligence.
Requirements
Demonstrated coursework or real-world application of analytical and AI methods, including but not limited to: writing code (e.g., Python, R, Java, Julia, SAS)
Developing models (e.g., regression, decision trees, deep learning, or generative AI techniques)
Experience in Microsoft Excel and data visualization tools (e.g., Tableau, Qlik, Power BI) and PowerPoint a plus
Experience with relational databases and SQL
Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) a plus
Responsibilities
Building predictive models to identify high-need customers for one of The Cigna Group's clinical programs using machine learning techniques.
Leveraging clustering algorithms and AI-driven segmentation to enable personalization in customer communication and outreach.
Apply natural language processing (NLP), and other advanced analytical capabilities, to analyze unstructured data such as customer feedback or clinical notes.
Exploration of generative AI applications to automate insights generation and enhance decision-making.
Other
Master’s degree in a quantitative field, such as data science, statistics, business analytics, mathematics, or related major
Strong analytical and strategic thinking skills
Strong motivation to apply responsible and ethical AI practices to real-world business challenges
Strong motivation for leadership (e.g., demonstrated through extracurricular work or relevant certifications)
