IAE Data Science Internship - Fall 2026
At a glance
Junior Data Science role at Fa Ewkd Dev1 Saasfaprod1. Tampa.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Help create and test AI applications that use large language models
- Build and maintain retrieval-augmented generation pipelines
- Prepare structured and unstructured data through collection, cleaning and transformation workflows
- Work with engineers and data scientists to assess model results and try prompt approaches
- Record technical findings and present project work through briefings or demonstrations
What you bring
- You are a U.S. citizen and can qualify to obtain a security clearance
- You are enrolled in a bachelor's program in a listed technical discipline or a related field, with a GPA of at least 3.0
- You have familiarity with machine learning and data science workflows, plus exposure to generative AI, large language models or NLP
Who this fits
This internship suits an undergraduate who will remain enrolled throughout the placement; senior standing is preferred. You must be able to work in person in Tampa two to three days per week. During fall and spring, the schedule is fifteen to twenty hours weekly; summer hours are twenty to twenty-nine per week, within weekday operating hours.
From the employer
IMPORTANT ELIGIBILITY REQUIREMENTS
- This internship supports U.S. Department of Defense-funded programs. Applicants must be U.S. citizens and eligible to obtain a security clearance. Applicants who do not meet this requirement cannot be considered for this position.
- Applicants must remain actively enrolled in an undergraduate degree program for the duration of the internship. Individuals who have already graduated prior to the internship start date are not eligible for this position.
Please Note: Authorization to work in the United States (including F-1 OPT/CPT, H-1B, or other employment authorization) does not satisfy this requirement. Applicants must be U.S. citizens to be eligible for this internship. Applicants who do not meet these eligibility requirements cannot be considered for this internship.
Organization Summary
The University of South Florida (USF) Institute of Applied Engineering (IAE) provides agile, best-value engineering solutions to enhance the performance and effectiveness of its sponsors, including the Department of Defense, other federal, state, and local agencies, and industry partners.
The Data Science Intern will work under the direction of Accenture Federal Services (AFS) technical leadership to support specialized programs. This internship offers an opportunity to work on meaningful data science and program management initiatives supporting broader Department of Defense (DoD) efforts. The intern will contribute to research, analysis, and the development of tools that enhance operational decision-making and resource allocation.
The internship program is administered by USF Institute of Applied Engineering. Upon hire, you will be considered both a USF IAE Temporary Employee and an AFS student intern.
Because this internship is partially funded by the U.S. Department of Defense and may involve access to Controlled Unclassified Information (CUI), U.S. citizenship is required for eligibility.
Time Commitment
- Hours of operation are 8:00 AM to 5:00 PM Monday through Friday
- Fall & Spring Semester: 15–20 hours per week.
- Summer Semester: 20-29 hours per week.
- Internship is primarily in-person (Tampa, FL) with limited remote work opportunities.
Opportunities
- Work directly alongside AFS engineers and data scientists.
- Gain hands-on experience with emerging AI and machine learning technologies.
- Build a professional portfolio of data science and software development projects.
- High potential for internship extensions and full-time employment opportunities following graduation.
Pay Rate
- $17.62/hour
Responsibilities
- Support the design, development, and testing of AI-enabled applications utilizing Large Language Models (LLMs).
- Assist in building and maintaining Retrieval-Augmented Generation (RAG) pipelines.
- Develop data engineering workflows to collect, clean, transform, and organize structured and unstructured datasets.
- Support integration of AI and machine learning capabilities into cloud-based environments.
- Collaborate with software engineers and data scientists to evaluate model performance.
- Assist with prompt engineering, model evaluation, and experimentation activities.
- Document technical findings, system architectures, and development processes.
- Contribute to project briefings, demonstrations, and technical presentations.
Qualifications
- Must be a U.S. citizen.
- Must be eligible to obtain a U.S. security clearance due to Department of Defense program requirements.
- Must be actively pursuing a bachelor's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Artificial Intelligence, Mathematics, Statistics, or a related technical discipline.
- Senior standing strongly preferred.
- Minimum GPA of 3.0
- Ability to report in-person 2-3x/week (Tampa, FL)
- Familiarity with machine learning concepts and data science workflows.
- Exposure to Large Language Models (LLMs), generative AI tools, or NLP concepts.
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