INTERNSHIP DETAILS

Data Science Intern, MDW / MDSW Product & Process Engineering

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedJanuary 21, 2026
Internship Information
Core Responsibilities
As an intern, you will collaborate with Product and Process Engineers to advance software and data analysis capabilities. Your role will include developing processes for new media designs and participating in failure analysis to improve yield and efficiency.
Internship Type
full time
Company Size
16441
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
About the Role

About our group:

The Multi Disc Writer (MDW) and Multi Disk Spiral Write (MDSW) Product & Process team plays a pivotal role in the final stage of our media manufacturing process. Our expertise is instrumental in ensuring operational efficiency and delivering media products with high servo quality to meet our diverse customer needs. Our commitment to innovation drives us to continually enhance our processes and meet the ever-evolving demands of both our internal Hard Disk Drive operations and our esteemed external clientele. 

About the role - you will:

A​​s an Intern collaborate closely with seasoned Product and Process Engineers. Your role will be instrumental in advancing our software and data analysis capabilities, providing critical support in: 

  • Developing and refining processes for new media designs, heads, and methodologies on MDW & MDSW platforms. 

  • Implementing data analysis and process optimization using advanced programming tools (Python, MATLAB, etc.). 

  • Participating in comprehensive failure analysis and engineering investigations to improve yield and efficiency. 

  • Contributing to projects aimed at cost reduction, optimizing overall equipment effectiveness (OEE), and enhancing our product's time-to-market.

 

What You Can Expect during your internship, you will: 

  • Receive guidance and mentorship from industry experts. 

  • Gain hands-on experience with cutting-edge technologies and methodologies. 

  • Enhance your technical, analytical, and problem-solving skills in a real-world setting. 

  • Have the opportunity to contribute to projects that impact the bottom line and drive innovation. 

About you:

As a proactive and self-directed learner, you thrive in environments that are ambiguous and challenge your problem-solving skills. You possess: 

  • Strong team collaboration ethos, able to effectively communicate and manage relationships with diverse stakeholders. 

  • Detail-oriented mindset with exceptional organizational skills. 

  • A commitment to impactful solutions and continuous improvement. 

  • Able to commit a full time semester internship (May/Jul to Dec) 

Your experience includes:

  • Currently pursuing in a Bachelor’s in Computer Science, Data Science, or a related engineering fields. 

  • Demonstrable experience with programming (Python, Matlab , SQL, etc.). 

  • Solid understanding of Six Sigma principles and robust data analysis capabilities, with a knack for data science. 

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound. 

 

Location: Woodlands, Singapore, W2
Travel: None

Key Skills
Data AnalysisProcess OptimizationPythonMATLABSQLSix SigmaProblem SolvingTeam CollaborationOrganizational SkillsContinuous Improvement
Categories
EngineeringData & AnalyticsManufacturingTechnology