Data Science Intern - Summer 2026

Looking for an internship program where you'll make a real difference - then you've come to the right place. The Cigna Group's Summer Internship Program is designed to provide you project-based experience that will have a lasting impact on our business - which touches millions of people across the globe.

As an intern, you will get an inside look at your desired field, while working next to some of the best in the industry. You will gain access to program activities, including an executive speaker series, volunteer events, and career development workshops. You will have the opportunity to network with employees across the organization and prepare you for a full-time career.

Where You'll Work

Evernorth Health Services, a division of The Cigna Group, is seeking 2026 Summer Interns who have a passion for applying Advanced Analytics and Data Science to Healthcare's biggest challenges. Evernorth Health Services creates pharmacy, care and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of disease more accessible to millions of people.

What You'll Do

The Data Scientist Internship is an exciting opportunity to be part of Enterprise Data Science team at Evernorth Health Services. You will have the opportunity to use data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience. Utilize Machine Learning for developing next generation of predictive models for targeted business solutions. Support the team in application of Text Mining to mine Voice of Customer data. Develop supervised / unsupervised algorithms, Big Data pipelines for making business processes efficient.

At Evernorth Health Services, you will get a chance to work with a variety of large datasets including pharmacy and medical claims transactions, member information, voice call transcripts, survey data, web log data, etc.

Project examples

Develop Next Generation Supervised Machine Learning Clinical models to predict Medical Non-Adherence

Training of call classification unsupervised topic models using big data platforms such as Spark and Hadoop

Leverage state of the art NLP Algorithms for detection of personal health information (PHI) entities within free text comments to automatically de-identify natural language

Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL

Qualifications

Working towards a Master's degrees or PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines

Excellent ability to query large datasets using ANSI SQL / HIVE SQL and working with relational databases

Proficient programming skills either in SAS, R, or Python

Proficient in Basic Probability and Statistics

Proficient with one or more quantitative data analysis languages such as R, Python

Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing

Proficiency with relational database concepts and SQL preferred

Proficiency in data manipulation, cleansing and interpretation

Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS

Experience with visualization tools like Tableau, Shiny, ggplot, Matplotlib

Experience with Microsoft Office Suite?

Additional Information

Start Date : May 18, 2026.

Location :   This is a Hybrid position located in one of three listed offices : St. Louis, MO; Morris Plains, NJ; Austin, TX. Relocation is not offered for this role. This hybrid position requires in-person work at least three days per week (Tuesday, Wednesday, and one additional day of your choice) at your assigned office location, with flexibility to work at home for balance of time.

Work Authorization : One goal of this internship program is to prepare and identify qualified candidates for roles with Cigna post-graduation. Therefore, this temporary internship is open only to individuals who are eligible for employment in the United States and who would not require visa support including H-1B, CPT / OPT / STEM, etc., now or in the future.

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, we're 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 require reasonable accommodation in completing the online application process, please email : SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.

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.