Leidos Internal Audit seeks to prototype automation that speeds audit work and improves insight by transforming enterprise data into reusable analytics, lightweight apps, and draft workpapers.
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
- Education: 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.
- 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.
