Intern Supply Chain

Stryker Corporation; Gurugram District; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Stryker Corporation in India is seeking a data-focused engineer to analyze order documents, evaluate OCR tools, and build a pipeline that extracts structured order data. You will validate outputs against master data and support integration with downstream reporting and order-entry systems.

The role emphasizes Python data processing, ML/NLP exposure, and automation tooling, with hybrid work flexibility and no travel requirements.

Qualifications

• Working knowledge of Python for data processing and scripting.
• Master's degree in Engineering (graduating 2025/2026).
• Basic SQL and comfort with structured data.
• Analytical mindset with strong attention to data quality.
• familiarity with UI-based automations (UiPath) and API-based automations (PowerAutomate).
• Preferred: 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%

Responsibilities

• Analyze incoming order documents and map formats, fields, and edge cases.
• Evaluate OCR and document-extraction tools and help choose approaches.
• Build a pipeline that extracts structured order data from documents.
• Implement validation against master data and flag uncertain results for humans.
• Integrate output with existing data infrastructure for reporting and order entry.
• Document work and support handover to the team.

Skills

Python

SQL

Data processing

Analytical mindset

UiPath

PowerAutomate

Education

Master's degree in Engineering

Tools

Tesseract

PaddleOCR

LayoutLM/LiLT

Git

Job description

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%

Stryker is one of the world's leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com

Work Flexibility Remote - Role allows you to work the majority to 100% of time from an alternate workplace.

• Field-based - You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary.
• Onsite - Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements.
• Manufacturing roles and any role that requires physical presence at the office would qualify under this category.
• Hybrid - You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.