Analytics Leadership Development Program (ALDP) Summer Internship

Analytics Leadership Development Program (ALDP) Summer 2027 Intern

The Cigna Group together with its wholly owned subsidiary Evernorth is seeking highly motivated graduate students to join the Analytics Leadership Development Program (ALDP) as Summer 2027 Interns.

This internship is designed for candidates with a strong foundation in analytics and data science meaningful hands-on experience and an interest in developing as future analytics leaders. The ALDP offers an immersive learning experience that combines real-world analytical work with business strategy professional development and leadership exposure preparing interns for full-time analytics roles following graduation.

At Evernorth data and analytics play a critical role in improving health outcomes advancing equity and driving affordability across the healthcare system. ALDP interns contribute to impactful work that supports smarter data-driven healthcare solutions while building both technical and leadership capabilities.

Internship Experience

As an ALDP Intern you will be embedded within an analytics team and work on real business problems that strengthen your analytical thinking technical skills and ability to communicate insights. Interns are supported by experienced leaders mentors and peers throughout the program.

Example project areas may include:

• Developing predictive models to identify customers who may benefit from targeted clinical or support programs
• Applying machine learning techniques to segment populations and enable personalized engagement strategies
• Analyzing drivers of medical cost trends and recommending data-driven mitigation strategies
• Measuring the impact of business initiatives using experimental or quasi-experimental methods
• Modeling the financial impact of changes to provider contracts or healthcare delivery models

Required Qualifications

• Currently pursuing a Masters degree in a quantitative field such as Data Science Statistics Mathematics Analytics or a closely related discipline
• Prior handson experience gained through internships coops research assistantships paid employment or applied academic projects involving analytics data science statistics or quantitative modeling (experience may include coursework capstone projects research labs consulting or contract work or parttime roles)
• Experience applying analytical methods including:
• Programming in Python or R
• Building evaluating or interpreting analytical or statistical models (e.g. linear or logistic regression decision trees or introductory machine learning models)
• Applying statistical concepts such as hypothesis testing experimental design or A/B testing
• Experience working with relational data and writing SQL queries to extract manipulate and analyze data
• Foundational understanding of machine learning concepts including supervised vs. unsupervised learning feature engineering and model evaluation
• Strong problemsolving and criticalthinking skills with the ability to structure ambiguous problems and develop datadriven approaches
• Demonstrated interest in leadership development shown through academic professional teaching assistant research or extracurricular experiences
• Ability to clearly communicate analytical insights to both technical and nontechnical audiences
• Ability to work effectively in a collaborative teambased environment incorporating feedback and diverse perspectives
• Availability to work 40 hours per week for the full 12week internship program

Preferred Qualifications

• Exposure to machine learning tools or frameworks through graduatelevel coursework projects or internships (e.g. scikitlearn TensorFlow PyTorch or large language models)
• Exposure to more advanced evaluation experimental or causal analysis methods gained through coursework or academic projects (e.g. matched casecontrol analysis or introductory causal inference)
• Experience working with large or complex datasets in an academic research or project setting including data cleaning preparation or basic feature engineering
• Familiarity with tools or libraries used to visualize and communicate analytical insights (e.g. Python visualization libraries Tableau or Power BI)
• Interest in or prior exposure to applying analytics in healthcare insurance or other regulated industries through coursework projects or internships

Additional Information

Work Authorization / Visa Sponsorship: One goal of this leadership development program is to prepare and identify qualified candidates for leadership roles with The Cigna Group upon program completion. Therefore this position is open only to individuals who are eligible for employment in the United States and who do not now or in the future require visa sponsorship including but not limited to H-1B CPT/OPT/STEM.

PreEmployment Requirements: Selected candidates will be required to complete mandatory preemployment tasks approximately 45 days prior to the program start date. Completion of the drug test requires availability within the United States during this timeframe.

Equal Employment Opportunity & Pay Transparency

The Cigna Group is an Equal Opportunity Employer. We are committed to building a diverse inclusive and equitable workforce. Qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy sexual orientation gender identity or expression) age national origin ancestry disability protected veteran status genetic information or any other protected characteristic as defined by applicable federal state or local laws.

The Cigna Group complies with applicable federal state and local laws governing nondiscrimination in employment and provides reasonable accommodations to applicants with disabilities throughout the hiring process.

Pay Transparency Notice: In accordance with applicable state and local pay transparency laws the anticipated hourly pay range for this role is $XX$XX per hour. Actual compensation will be determined based on relevant factors such as skills education experience and location and may vary from the stated range.

If you will be working at home occasionally or permanently the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

About The Cigna Group

Doing something meaningful starts with a simple decision a commitment to changing lives. At The Cigna Group were dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services we are committed to enhancing the lives of our clients customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race color age disability sex childbirth (including pregnancy) or related medical conditions including but not limited to lactation sexual orientation gender identity or expression veteran or military status religion national origin ancestry marital or familial status genetic information status with regard to public assistance citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process please email for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama Alaska Arizona Arkansas Delaware Florida Georgia Hawaii Idaho Iowa Kansas Maryland Massachusetts Michigan Nebraska Ohio Pennsylvania Texas Utah Vermont and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances.