Machine Learning Engineer Intern - Summer 2025

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 – 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 WorkEvernorth 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 DoJoin 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 subjectsAdditional 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 utilizing containerization solutions like Docker and Kubernetes• Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS• Experience with Microsoft Office SuiteAdditional Information• Location: This in an in-office/hybrid internship. Applicants should be prepared to be aligned to one of the following locations:• 4600 North Hanley, St. Louis, MO 63134• 115 Tabor Road, Morris Plains, NJ 07950• 11501 Alterra Pkwy, Austin, TX 78758• Work Authorization: One goal of this internship program is to prepare and identify qualified candidates for roles with The Cigna Group 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 sponsorship now or in the future.• Schedule: You must be available to work 40 hours/week for 12 consecutive weeks beginning May 19, 2025. Working hours are Monday – Friday• Compensation: For this position, we anticipate offering an hourly rate between $30.00 and $40.00 an hour depending on relevant factors, including major and year of study.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. 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