Analytics Leadership Development Program at The Cigna Group develops future analytics leaders through rotations and hands-on projects. Focus on AI, data science, and machine learning in healthcare.
Responsibilities
The ALDP seeks to develop future analytics leaders for The Cigna Group and Evernorth.
This is a great opportunity for recent graduates or those early in their careers who are excited to apply their academic knowledge in analytics, data science and AI.
Associates are able to focus on key data, machine learning, and analytical competencies during the 4–5 year program.
Possible full-time projects include, but are not limited to: 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.
Requirements
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)
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
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
Excellent oral and written communication skills, across a variety of technical and non-technical audiences
Ability to collaborate with other technical colleagues to understand goals/priorities and to identify roadblocks/solutions
3.2+ GPA strongly preferred
Benefits
medical, vision, dental, and well-being and behavioral health programs
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