AI/ML BI Internship — Summer 2027, Mentored Data Projects

General Dynamics Information Technology, Inc.

Bossier City (LA)

Hybrid

USD 26,000 - 36,000

Full time

6 days ago
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Job summary

General Dynamics Information Technology, Inc. invites students to a 10-week Summer Internship focused on AI/ML Business Intelligence development. Interns will work on a range of projects, from agentic AI solutions to proxy services for LLM management, aligning with interests and enterprise data sources.

Mentoring, client-facing exposure, and cross-functional collaboration are core experiences. You will join a collaborative team, research solutions to business challenges, and engage with leaders

Qualifications

  • 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).

Responsibilities

  • 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 and participate in professional development.

Skills

Collaboration
Computer Information
Computer Literacy

Education

Pursuing STEM degree

Tools

Power BI
Tableau
Qlik
AWS QuickSight
Python
SQL

Job description

General Dynamics Information Technology, Inc. invites students to a 10-week Summer Internship focused on AI/ML Business Intelligence development. Interns will work on a range of projects, from agentic AI solutions to proxy services for LLM management, aligning with interests and enterprise data sources.

Mentoring, client-facing exposure, and cross-functional collaboration are core experiences. You will join a collaborative team, research solutions to business challenges, and engage with leaders

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