Data Science Intern - Summer 2026 at The Cigna Group

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Modeling, Machine Learning, Text Mining, Segmentation, Clustering, SQL, Python, R, Big Data, NLP, Data Manipulation, Data Cleansing, Visualization, Statistics, Relational Databases

Industry

Hospitals and Health Care

Description

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 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. 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. Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Responsibilities

As a Data Science Intern, you will use data science techniques to develop solutions that increase revenue and improve member experience. You will work with large datasets and apply machine learning and text mining to address healthcare challenges.