Intern - Data Science

Posted 2 Days Ago
Be an Early Applicant
Bayan Lepas, Barat Daya, Pulau Pinang, MYS
In-Office
Internship
Big Data • Cloud • Hardware • Software
The Role
Support development of an automated Off-hold Tracking solution: extract and clean FQAP data, build simple reports/dashboards, validate outputs against manual records, document work, and present progress in team meetings.
Summary Generated by Built In
Company Description

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 Description

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.

ESSENTIAL DUTIES AND 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

Qualifications

REQUIRED:

  • 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

PREFERRED:

  • 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

SKILLS:

  • 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

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected].

Skills Required

  • 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
  • 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

Western Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Western Digital and has not been reviewed or approved by Western Digital.

  • Strong & Reliable Incentives Strong & Reliable Incentives: Incentive structures in variable‑pay roles are portrayed as well‑designed, and annual or quarterly bonuses are commonly part of total compensation.
  • Healthcare Strength Healthcare Strength: Company materials highlight comprehensive medical, dental, vision, and mental‑health resources, complemented by options like HSA/FSA and disability coverage.
  • Parental & Family Support Parental & Family Support: Caregiving support across life stages and children’s behavioral health resources are featured, with programs such as Bright Horizons referenced for U.S. employees.

Western Digital Insights

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The Company
HQ: Bengaluru, Karnataka
25,132 Employees

What We Do

At Western Digital we create data storage solutions that power the technology of today and inspire the innovations of tomorrow.

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