Intern Supply Chain

• 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.