GDIT Summer Internship Program – Summer 2027 AI/ML Data Science and Engineering Internship

General Dynamics Information Technology, Inc.; Bossier City (LA); Hybrid; USD 27,000 - 36,000; Full time

Job summary

General Dynamics Information Technology, Inc. invites motivated interns to join our AI/ML Data Science and Engineering team for a 10‑week summer internship.

You’ll collaborate with professionals to deliver work for clients, research solutions, and participate in mentoring circles and leadership interactions. Applicants should be enrolled in a US-based associate, bachelor’s or master’s program in CS/IT/engineering and have a basic grasp of data science concepts, AI/ML techniques, and Microsoft

Qualifications

• Currently enrolled in a US-based associate, bachelor’s or master’s degree program in computer science, IT, engineering or other STEM field.
• Basic understanding of core Data Science concepts and AI/ML techniques.
• Basic understanding of Microsoft Office products (Word, PowerPoint, SharePoint, Excel, Teams).

Responsibilities

• Work side-by-side with GDIT professionals delivering work for clients.
• 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.
• Participate in professional development.

Skills

Collaboration

Python/SQL

Computer Information

Computer Literacy

Education

US-based college/university (associate/bachelor/master in CS/IT/engineering)

Tools

Microsoft Office

Job description

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Interns

Job Qualifications:

Skills: Collaboration, Computer Information, Computer Literacy

Certifications: None

Experience: 0 + years of related experience

US Citizenship Required: No

Job Description

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 AI/ML Data Science and Engineering summer interns will work on a range of projects that ideally align with their interests. Some interns will develop agentic solutions capable of answering business questions and performing approved actions across enterprise information sources. Other interns will develop standalone proxy services for full, front‑end management of any LLM implementation. The ultimate product will be a single managed service which includes features such as detection, monitoring, security, and FinOps, allowing flexible implementations that nonetheless adhere to consistent governance and management standards. The ideal intern will have knowledge of AI/ML tools and fundamentals, data science and engineering, data libraries, and at least one programming language.

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 core Data Science concepts, including data cleaning, exploratory analysis, simple statistical methods, and foundational machine learning principles, with an eagerness to learn and apply AI/ML techniques in real‑world projects
• Basic understanding of Microsoft Office products (e.g., Word, PowerPoint, SharePoint, Excel, and Teams)

What You’ll Need to Deliver Your Best Every Day

• Problem solving and interest in big data

• Interest or experience with big data platform tools

• Interest in data cleaning, wrangling, transformation, model selection, cross‑validation, and deployment

• Interest in building and maintaining data pipelines

• Interest in training, testing, monitoring, and maintaining AI/ML models

• Interest in containerization, optimization, and workflow automation

• Interest in AI/ML security best practices to include data provenance, isolation, monitoring, and adversarial testing

• Interest in responsible AI/ML governance to include transparency, risk mitigation, fairness, and compliance

• Interest in FinOps practices

• Knowledge of statistical techniques

• Knowledge of machine learning algorithms and fundamentals

• Knowledge of data and ML libraries

• Knowledge of Python, SQL, or other programming languages

• Experience working in a collaborative team environment

• Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology

• Ability to effectively articulate technical challenges and solutions

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.

Note: We receive a high volume of applications and review them on a rolling basis.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

Telecommuting Options: Hybrid

Work Location: USA LA Bossier City

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US‑based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long‑term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identify Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission‑ready capabilities in AI, cloud, cyber and software development.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

The likely hourly rate for this position is between $19.55 - $26.45. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.