Intern - Data Science

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Summary

Western Digital's Manufacturing Engineering team is looking for an enthusiastic intern to assist in developing an automated Off-hold Tracking solution. The intern will support efforts to reduce manual data compilation in the Factory Quality Assurance Process (FQAP). This is a learning-focused role ideal for students eager to apply their academic knowledge in a real-world manufacturing setting.

Responsibilities

Assist in building a simple automated system to track Off-hold status and reduce manual compilation; Learn and apply basic data extraction and cleaning techniques on FQAP-related data; Help create simple reports or dashboards to display Off-hold tracking results; Work with team members to understand existing manual workflows; Support data validation by comparing automated outputs with current manual records; Prepare basic documentation on the work completed; Participate in team meetings and share progress updates

Requirements

Currently pursuing a Bachelor's degree in Data Science, Mathematics, Computer Science, or Information Technology (penultimate or final year); Basic knowledge of at least one programming language (e.g., Python or R); Willingness to learn new tools and technologies; Able to commit to the internship duration (3–6 months); Good attitude, curiosity, and willingness to ask questions; Basic programming (Python, R, or VBA); Fundamental data handling (sorting, filtering, basic analysis); Microsoft Excel (intermediate level); Willingness to learn visualization tools (Power BI, Tableau, etc.); Good communication and teamwork; Eager to learn and take initiative

Nice to have

Exposure to data analysis concepts through coursework or personal projects; Basic familiarity with Excel (formulas, pivot tables); Some awareness of databases or SQL (even from coursework); Interest in automation or process improvement