GDIT Summer Internship Program – Summer 2027 AI/ML Business Intelligence Development Internship

LED FastStart•Bossier City, LA

5h•$20 - $26•Hybrid

About The Position

GDIT’s 10-week Summer Internship Program gives interns the opportunity to work alongside GDIT professionals on client work, collaborate with 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, and take part in professional development. AI/ML Business Intelligence Development interns work on projects aligned, where possible, with their interests. Projects may include developing agentic solutions that answer business questions and perform approved actions across enterprise information sources, or creating standalone proxy services to manage LLM implementations end to end. The broader goal is a managed service with detection, monitoring, security, and FinOps features, supporting flexible implementations under consistent governance and management standards. The role is suited to candidates interested in AI/ML tools, data analysis and engineering, intelligent reporting, process automation, and prediction. This is a paid, full-time internship of 40 hours per week for 10 consecutive weeks. Interns must have at least one semester of study remaining after the internship concludes. The role is hybrid, with less than 10% travel. Sponsorship is not available, and no security clearance is required or must be obtained.

Requirements

Be currently enrolled in an associate, bachelor's, or master's degree program in computer science, IT, engineering, or another STEM field at a U.S.-based college or university.
Have a basic understanding of core data science concepts, including data cleaning, exploratory analysis, simple statistical methods, and foundational machine learning principles, and be eager to learn and apply AI/ML techniques in real-world projects.
Have a basic understanding of Microsoft Office products such as Word, PowerPoint, SharePoint, Excel, and Teams.
Have problem-solving ability and an interest in big data.
Have effective communication skills and be able to articulate technical challenges and solutions.
Have experience working in a collaborative team environment.
Be able to identify and solve complex problems related to rapidly changing technology.
Have at least one semester remaining in studies after the internship concludes.

Nice To Haves

Interest or experience with big data platform tools.
Interest in data cleaning, wrangling, transformation, model selection, cross-validation, and deployment.
Interest in writing acceptance criteria and confirming test case results.
Interest in producing requirements, sizing user stories, and removing roadblocks.
Interest in AI/ML security best practices, including data provenance, isolation, monitoring, and adversarial testing.
Interest in responsible AI/ML governance, including transparency, risk mitigation, fairness, and compliance.
Interest in FinOps practices.
Knowledge of interactive visual reporting and automation tools such as Power BI, Tableau, Qlik, or AWS QuickSight.
Knowledge of Python, SQL, or other programming languages.

Responsibilities

Work alongside GDIT professionals delivering work for clients.
Collaborate with peers to research and propose solutions to a current business challenge.
Participate in a mentoring circle, interact with GDIT leaders, and take part in professional development.
Contribute to AI/ML business intelligence projects, potentially including agentic solutions for answering business questions and performing approved actions across enterprise information sources.
Potentially develop standalone proxy services for end-to-end management of LLM implementations.
Contribute to a managed service designed to include detection, monitoring, security, and FinOps features under consistent governance and management standards.
Depending on project needs, work with data analysis and engineering, intelligent reporting, process automation, and prediction.