Machine Learning Engineer Intern at The Cigna Group

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, SQL, AWS, Apache Spark, Fast API, Flask, Docker, Kubernetes, Big Data, Hadoop, Pyspark, Spark SQL, Jenkins, GitHub Actions

Industry

Hospitals and Health Care

Description

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 Join the Enterprise Data Science team at Evernorth Health Services as a Machine Learning 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, 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: Point of Concept (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 Working towards a Master’s Degree or 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 Machine Learning (ML) Libraries (Scikit Learn, MLlib, TensorFlow, and PyTorch). Exposure to AWS cloud services and running Apache Spark applications Previous work experience in software engineering a plus 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 Suite 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. About The Cigna Group Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives. 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. If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Responsibilities

As a Machine Learning Engineering Intern, you'll build and deploy machine learning frameworks, accelerating development to deployment timelines. You'll focus on creating scalable algorithms and developing efficient data pipelines.