Intern Supply Chain

Work Flexibility: Hybrid What You will do: Analyze incoming order documents and map out their formats, fields, and edge cases. Evaluate OCR and document-extraction tools (e.g. Tesseract, PaddleOCR, layout-aware models like LayoutLM/LiLT) and help choose the right approach. Build a pipeline that extracts structured order data (customer, part numbers, quantities, prices, dates, PO references) from documents. Implement validation against master data and a review step that flags uncertain results for a human to check. Integrate the output with existing data infrastructure for downstream reporting and order entry. Document your work and support handover to the team. What you will need: Required Qualification: Working knowledge of Python (data processing, scripting). Masters degree in Engineering passing out in 2025 or 2026 Interest in (or some exposure to) machine learning, computer vision, or NLP. Basic SQL and comfort with structured data. An analytical mindset and strong attention to data quality Basic knowledge of UI-based automations (eg. UiPath) and/or API-based automations (eg. PowerAutomate) Preferred Qualification: Experience with OCR libraries or document-AI models. Familiarity with cloud data platforms and pipeline tooling. Version control (Git) and collaborative development experience. Travel Percentage: 0%