Machine Learning Engineer Intern - Summer 2025

CignaSaint Louis, MO
523d$62,400 - $83,200Hybrid

This job is no longer available

There are still lots of open positions. Let's find the one that's right for you.

About The Position

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

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service