Machine Learning Engineer Intern - Summer 2025

Looking for an internship program where you'll make a real difference - rather than just completing busy work? Then you've come to the right place.

The Cigna Group's Summer Internship Program is designed to assign you projects that have a lasting impact on our business - which touches millions of people across the globe.

As an intern, you'll get an inside look at your desired field, while working next to some of the best in the industry.

Program activities, including an executive speaker series, volunteer events, and career development workshops, give you 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 2025 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

Join the Enterprise Data Science team at Evernorth Health Services as an ML Engineering Intern.

In this role, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines and supporting data scientists in their projects.

You'll focus on creating scalable algorithms and developing efficient data pipelines.

At Evernorth Health Services, interns 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.



* Previous project examples:

POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.

Qualifications



* Candidates working towards master's degrees or a PhD in quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, Computational Linguistics or related quantitative disciplines or other similar degree


* Ability to work with a variety of data sources with SQL & Python


* Experience with Python ML Libraries (Scikit Learn, MLlib, TensorFlow, and PyTorch).


* Exposure to AWS cloud services and running Apache Spark applications


* Previous work experience in software engineering


* Preference given to students with 3.0 GPA or above with demonstrated proficiency in quantitative subjects

Additional Experience Required


* Experience with API development leveraging Fast API / Flask


* Developing and deploying Spark/Databricks jobs with enterprise tool stacks like Jenkins / GitHub Actions


* Deployment uti...