Data Science Intern - Summer 2026

The Cigna Group • Austin, TX

23h • Hybrid

About The Position

The job profile for this position is Co-Op/Intern (US Only), which is a Band 1 Professional Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. 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

Requirements

• 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 in data manipulation, cleansing and interpretation

Nice To Haves

• Proficiency with relational database concepts and SQL preferred
• 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

Responsibilities

• 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.

What This Job Offers

• Career Level: Intern