The Cigna Group and Evernorth are seeking to develop future analytics leaders who can leverage data, analytics, and artificial intelligence to solve healthcare's greatest challenges.
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), using developer tools such as GitHub Copilot, developing models (e.g., regression, decision trees, deep learning, or generative AI techniques), and/or evaluating outcomes using statistical techniques (e.g., matched case-control studies, A/B testing)
Follows best programming practices and writes clean, documented, and well-structured code
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
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)
Takes ownership of work in which they are assigned
Demonstrated motivation and ability to creatively solve problems and identify novel solutions to enhance productivity and modernize existing practices
