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About the Role
This internship is a foundational development opportunity for emerging AI/ML engineers ready to build scalable solutions for meaningful health care challenges. You will contribute to strategically important work, learn alongside ambitious and compassionate experts, and explore how modern AI, data, cloud, and software engineering can improve health outcomes and business decisions.
Responsibilities
- Build and improve reusable machine learning frameworks that accelerate model development and production deployment.
- Design scalable data pipelines and feature-engineering solutions using Python, SQL, Spark, Databricks, or related technologies.
- Develop production-ready APIs, cloud-native services, and intelligent applications that make AI capabilities easier to use across the enterprise.
- Contribute to MLOps automation, containerized deployment, monitoring, and reliable engineering practices that improve speed, quality, and repeatability.
- Work with large health care datasets, including pharmacy and medical claims, member information, call transcripts, surveys, and web logs, to identify actionable opportunities.
- Partner with technical and business stakeholders to translate complex needs into scalable, responsible solutions and communicate outcomes clearly.
- Explore generative AI, agentic AI, retrieval-augmented generation, document intelligence, or real-time prediction while seeking feedback and documenting what you learn.
Requirements
- Pursuing a master's degree or PhD in computer science, statistics, applied mathematics, engineering, operations research, bioinformatics, information systems, computational linguistics, or another quantitative field.
- At least 1 year of hands-on machine learning, data engineering, analytics, or software engineering experience gained through coursework, research, internships, or professional projects.
- Working knowledge of Python and SQL, with experience preparing data or building technical solutions.
- Experience developing or supporting machine learning, data engineering, or software engineering solutions through academic or applied projects.
- Ability to explain technical work clearly, collaborate across disciplines, and adapt based on feedback and new information.
- Candidates must be authorized to work in the United States and not require current or future employment sponsorship.
- If working from home, internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
Skills
- Python
- SQL
- Spark
- Databricks
- scikit-learn
- MLlib
- TensorFlow
- PyTorch
- AWS
- Apache Spark
- PySpark
- Spark SQL
- FastAPI
- Flask
- Jenkins
- GitHub Actions
- Docker
- Kubernetes
- Hive
- Scala
- HDFS
Location
- Austin, TX
- Morris Plains, NJ
- St. Louis, MO
Work Type
- Hybrid
- Full-time
- Internship
Experience Level
- Internship
- 1 year of hands-on machine learning, data engineering, analytics, or software engineering experience
Education Level
- Master's degree or PhD in computer science, statistics, applied mathematics, engineering, operations research, bioinformatics, information systems, computational linguistics, or another quantitative field.
- 3.0 GPA or higher with strength in quantitative coursework
Salary/Compensations
- $35.00-$43.00 per hour
Benefits
- Professional development
- Networking opportunities
About the Company
- 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.
- 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.
Equal Opportunity
- 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 need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.
- Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.