Data Scientist/Artificial Intelligence Engineer Associate Intern
About The Position
GDIT Summer Internship Program – Summer 2026 Data Scientist/AI Engineer Associate Internship Sponsorship is not available for this role. At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world. We wouldn't be successful without our ability to attract new talent to join our team. What sets a GDIT internship experience apart from other organizations in the industry? GDIT's Summer Internship Program is designed with you in mind! Our internship provides you the opportunity to be a part of a collaborative team that is helping to solve our clients' most challenging matters. Throughout GDIT's 10-week Summer Internship Program, you will have the opportunity to do the following: Work side-by-side with GDIT professionals delivering work for clients. Collaborate with a team of peers to research and propose solutions to a current business challenge. Participate in a mentoring circle led by an early career champion. Interact with GDIT leaders. Participate in professional development. How You'll Make this Internship Opportunity Your Own Our Data Scientist/AI Engineer summer interns will work on a range of projects that align with their interests while contributing to our broader AI tooling efforts. In this role, interns will analyze internal and customer data and transform and prepare it for model training or metric capturing to support better decision-making and user experiences. Interns will also help build, package, and deploy solutions using modern engineering practices such as Python-based development, deep learning frameworks, and containerization tools. The ideal intern is a collaborative problem-solver who can clearly articulate technical challenges and solutions and is eager to learn, iterate, and deploy in a fast-moving environment. The Must-Haves Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university. Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams) What You'll Need to Deliver Your Best Every Day Ability to effectively articulate technical challenges and solutions. Experience working in a collaborative team environment. Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology. Knowledge of Python or other programming languages Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Experience with containerization tools (e.g., Docker, Podman) Interest in or experience with container orchestration platforms (e.g., Docker Compose, Kubernetes) Knowledge of statistical techniques Interest in data transformation, model selection, cross-validation, and deployment Problem solving and interest in big data. GDIT interns are paid and full-time (40 hours/week) for 10 consecutive Applicants should have a minimum of one semester remaining in their studies after their internship concludes. Take the first step and apply today! Note: We receive a high volume of applications and review them on a rolling basis. We encourage you to apply as soon as possible. Our goal is to follow up with you within two weeks of your application. #GDITInternship
Requirements
- Currently enrolled in an associate's, bachelor's or master's degree program in computer science, IT, engineering, or other STEM field from a United States-based college or university.
- Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)
- Ability to effectively articulate technical challenges and solutions.
- Experience working in a collaborative team environment.
- Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.
- Knowledge of Python or other programming languages
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
- Experience with containerization tools (e.g., Docker, Podman)
- Interest in or experience with container orchestration platforms (e.g., Docker Compose, Kubernetes)
- Knowledge of statistical techniques
- Interest in data transformation, model selection, cross-validation, and deployment
- Problem solving and interest in big data.
Responsibilities
- Analyze internal and customer data and transform and prepare it for model training or metric capturing to support better decision-making and user experiences.
- Help build, package, and deploy solutions using modern engineering practices such as Python-based development, deep learning frameworks, and containerization tools.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
