Data Scientist Intern

Are you excited to create efficiencies by automating processes through coding and AI Agents?
Do you love turning messy data into useful tools and dashboards?
Can you build with Python and Power BI and experiment with LLMs to make smart smarter?
Want your work used by real stakeholders the same week you ship it?

Overview

Join Internal Audit to prototype automation that speeds audit work and improves insight. You’ll use Python, SQL, and Power BI—and try LLMs/RAG—to transform enterprise data into reusable analytics, lightweight apps, and draft workpapers. You’ll pair with a mentor, collaborate with auditors, and ship practical solutions.

What You’ll Do

• Build data prep scripts (Python/SQL): Ingest, clean, reconcile, and document datasets for repeatable use.
• Create dashboards (Power BI): Model data (Power Query/M, DAX) and publish clear visuals and metrics.
• Prototype AI helpers (LLMs/RAG): Summarize policies, extract facts from documents, draft outlines/checklists—with citations and an audit trail.
• Translate problems into code: Work with auditors to frame questions, test ideas, and iterate quickly.
• Document & QA: Track assumptions, lineage, and tests; communicate results to non-technical users.

Example projects: anomaly detection on transactional data, contract/PO/lease summarization, exception classification, remediation status roll-ups, lightweight notification bots, or automating a recurring data pull.

Basic Qualifications (Must-Haves)

• Education: currently pursuing a Bachelor’s in Data/Computer Science, Information Systems, Accounting/Analytics, or related field.
• Python: pandas/numpy basics; comfortable writing clear, reusable scripts.
• Power BI: Power Query/M and basic DAX; can build and publish dashboards from scratch.
• Microsoft 365: Strong Excel; working knowledge of SharePoint/OneDrive file management and Teams collaboration (Power Automate a plus).
• Clear communicator; resourceful and creative problem solver who learns fast.

Preferred Qualifications (Nice-to-Haves)

• SQL fundamentals (joins, filtering, aggregation).
• Interest in LLMs/RAG (grounding, citations) and document parsing (PDF/OCR).
• Familiarity with enterprise data (ERP, expenses, timesheets, GRC) is a plus.

What You’ll Learn

• How to scope ambiguous problems and ship usable tools fast.
• The audit analytics lifecycle—from raw data to reproducible insight.
• Data quality, change management, and documentation standards in a regulated environment.
• All the exciting projects Leidos is developing to make the world safer, smarter, and more efficient.

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.