Analytics Leadership Development Program (ALDP) - Start Date: July 12, 2027

Cigna Group•Bloomfield, CT

6d•$86,600 - $144,300•Onsite

About The Position

The Cigna Group, along with its wholly owned subsidiary Evernorth, is hiring a class of full-time associates for its Analytics Leadership Development Program (ALDP). The ALDP seeks to develop future analytics leaders for The Cigna Group and Evernorth. We believe data, analytics, and artificial intelligence are the critical to solve healthcare’s greatest challenges, and we’re committed to hiring and training the next generation of leaders who will combine their advanced technical skills—including AI and machine learning—with business acumen, communication, and leadership to tackle those huge societal challenges. The Cigna Group's Analytics Leadership Development Program is seeking curious, driven individuals who are eager to learn, grow and lead. 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. The ALDP is designed to support your transition from academia to industry in which the framework allows for continued development through participation in a series of rotations. Associates are able to focus on key data, machine learning, and analytical competencies during the 4–5 year program. ALDP’s formalized structure is comprised of technical and non-technical skills training, networking opportunities, formal mentoring, and use of cutting-edge analytical and AI tools. Program rotations are typically 12–18 months in length and span all areas of The Cigna Group’s Data and Analytics organization.

Requirements

Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.
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 with relational databases and SQL
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
Must be available to work a 40-hour work week.
Working days are Monday – Friday.
Must be eligible for employment in the United States and would not require visa support including H-1B or CPT/OPT/STEM, etc., now or in the future.

Nice To Haves

Experience in Microsoft Excel and data visualization tools (e.g., Tableau, Qlik, Power BI) and PowerPoint a plus
Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) a plus
3.2+ GPA strongly preferred

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.