Intern Supply Chain

Stryker; Gurgaon; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Stryker is seeking a data engineering-focused role to build end-to-end document extraction pipelines in support of order processing. You will analyze incoming order documents, map formats and edge cases, and evaluate OCR tools and layout-aware models.

You will implement a robust pipeline that extracts customer, part numbers, quantities, prices, dates, and PO references, with validation against master data and a human-review step, enabling seamless integration with existing data infrastructure.

Qualifications

• Working knowledge of Python for data processing.
• Masters degree in Engineering with graduation in 2025/2026.
• Interest in ML, computer vision, or NLP.
• Basic SQL and comfort with structured data.
• Analytical mindset and strong attention to data quality.
• Basic knowledge of UI-based automations (UiPath) and/or API-based automations (PowerAutomate).

Responsibilities

• Analyze incoming order documents and map formats, fields, and edge cases.
• Evaluate OCR and document-extraction tools and help choose the right approach.
• Build a pipeline that extracts structured order data (customer, part numbers, quantities, prices, dates, PO references).
• Implement validation against master data and a review step for uncertain results.
• Integrate output with existing data infrastructure for downstream reporting and order entry.
• Document your work and support handover to the team.

Skills

Python

Data processing

Scripting

Attention to data quality

Analytical mindset

Education

Master's degree in Engineering

Tools

OCR libraries

Git

UiPath

PowerAutomate

SQL

LayoutLM/LiLT

PaddleOCR

Job description

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.

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.