Leidos Internal Audit is looking to prototype automation that speeds audit work and improves insight by transforming enterprise data into reusable analytics, lightweight apps, and draft workpapers using Python, SQL, Power BI, and LLMs/RAG.
Requirements
- 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).
- SQL fundamentals (joins, filtering, aggregation).
- Interest in LLMs/RAG (grounding, citations) and document parsing (PDF/OCR).
Responsibilities
- 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.
Other
- currently pursuing a Bachelor's in Data/Computer Science, Information Systems, Accounting/Analytics, or related field.
- Clear communicator; resourceful and creative problem solver who learns fast.
- Ability to scope ambiguous problems and ship usable tools fast.
- Interest in making the world safer, smarter, and more efficient.
- Restless, over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."
