About our group:

The Media Yield and Process Monitoring team is part of a high‑impact Advanced Manufacturing Engineering organization based in Woodlands, Singapore. The team focuses on driving media yield improvement and process excellence through data, analytics, and AI‑driven solutions.

Our work sits at the intersection of real‑time manufacturing data systems, large‑scale analytics, and AI and machine learning applications for defect prediction and process optimization across high‑volume production lines.

By transforming complex manufacturing data into actionable insights, the team directly supports factory performance, yield recovery, and continuous process improvement. Interns in this group gain exposure to real production challenges and work closely with experienced engineers and data scientists on problems that matter.

About the role - you will:

About the Role – You Will

As a Media Yield and Process Monitoring Intern, you will play an active role in transforming how manufacturing data is monitored, analyzed, and acted upon across production lines. Through this role, your work can directly influence process decisions, yield recovery, and overall factory performance.

Analyze media yield trends and Key Process Output Variable (KPOV) fallout signals across manufacturing processes
Monitor large‑scale production datasets to detect anomalies and emerging issues early
Develop and enhance data monitoring dashboards and trigger logic using tools such as Tableau, SQL, and Python
Apply data analytics and AI or machine learning techniques to improve issue detection efficiency
Identify gaps in existing monitoring systems and propose smarter, more automated solutions
Collaborate with process owners and engineers to validate findings, drive issue resolution, and close monitoring or trigger gaps
- Support end‑to‑end problem solving, from data analysis to actionable recommendations

What You Will Gain in this internship, you will have the opportunity to:

Work on live manufacturing line issues that impact real product yield
Apply AI, big data, and analytics skills in a production environment
Gain exposure to end‑to‑end problem solving from data to action
Contribute to automation and next‑generation monitoring systems
Present findings to engineering teams and leadership
Build hands‑on experience in smart manufacturing and advanced analytics

About you:

We’re looking for someone who is:

Analytical, with the ability to translate data into clear, actionable insights
Comfortable working in a fast‑paced, dynamic manufacturing environment
A strong communicator who can collaborate with cross‑functional engineering teams
Self‑driven, curious, and eager to solve real‑world problems using data and technology

Your experience includes:

Currently pursuing a degree in Data Science, Computer Science or Engineering (Mechanical, Electrical, Materials, Industrial, or similar)
Strong interest in data analytics, AI, or smart manufacturing
Familiarity with Python ,SQL
Data visualization tools such as Tableau or Power BI

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, W3
Travel: None

Seagate Technology

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Media Yield and Process Monitoring Intern, Data Analytics and AI for Smart Manufacturing