Intern II

Job ID: 2611934

Location: Upper Marlboro, MD, US

Date Posted: 2026-04-27

Category: Student

Subcategory: Intern

Schedule: Casual (includes On-Call and Temporary)

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking interns for Summer 2026. This internship provides an exciting opportunity to work on cutting-edge projects and gain hands-on experience in the field.

This is a paid internship opportunity

What is in it for you?

• Mentorship from corporate professionals who build technical solutions for business partners
• Training through a structured learning curriculum which includes formal Business Development professionalization and skills development
• Coaching and professional development feedback intended to enhance your skills and likelihood of success in a competitive corporate environment

Responsibilities:

• Contribute individually and/or as a team member to support our customer’s unique mission needs
• Work with key stakeholders to accomplish goals and objectives to support SAIC’s project/program portfolio
• Build awareness and experience of key capability skills in support of SAIC business efforts
• Write and deploy code to deliver high-impact, scalable solutions for real-world technical challenges
• Conduct data and process analysis to support development of key solutions
• Participate in team meetings and contribute to discussions in these technical fields

Potential Internship focus areas:

• Decision Science (AI, ML, & Intelligent Automation): Python Development, Artificial Intelligence, Machine Learning, and other automation technologies to help drive better decisions, automate processes, and eliminate manual activities
• Data Science
• Human Factors

Qualifications

High School and two (2) or more years of college coursework

Target salary range: Up to $40,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.