INTERNSHIP DETAILS

Data Science / AI Adoption Intern

CompanySeagate Technology
LocationSamut Prakan
Work ModeOn Site
PostedJune 5, 2026
Internship Information
Core Responsibilities
Develop and validate end-to-end quality anomaly detection methods using statistical and ML techniques to automate visual inspection. Partner with quality engineers to drive AI adoption and improve operational efficiency through the automation of routine tasks.
Internship Type
full time
Company Size
16689
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:

Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world—Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected—and we harness it in order to maximize human potential.

About the role - you will:

· Developed and validated end‑to‑end quality anomaly detection methods using statistical, clustering, ML‑based, and time‑series techniques (z‑score, IQR, outlier detection).

· Enable automated, consistent, and scalable visual inspection using AI to detect defects, anomalies, or patterns that humans miss or cannot do fast enough.

· Assist in benchmarking anomaly detection approaches against current engineering rules (e.g., red/yellow dot sweeps, column swipes).

· Partner with quality engineers to drive process efficiency improvements.

· Driving AI adoption to automate routine tasks and improve operational efficiency.

About you:

You are a self-motivated and independent learner with a strong communication and UX storytelling mindset. You enjoy working in teams and translating complex data into actionable insights.

Your experience includes:

· Strong background in statistics and machine learning (regression, clustering, classification, anomaly/outlier detection).

· Experience integrating OpenAI APIs (text and vision models) into internal tools, analytics pipelines, or inspection workflows.

· Proficiency in Python (pandas, scikit-learn, PyOD, stats models) or KNIME workflows.

· Experience designing and developing interactive dashboards using Power BI and Tableau.

· Good problem-solving and analytical mindset; ability to handle large datasets efficiently.

· Currently pursuing a Bachelor’s or master’s degree in IT, Computer Science, or other Engineering majors

Location:

Teparuk, Thailand

Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads—a crucial 
component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and 
enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen 
Seagate Internal and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, 
basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety 
of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider 
joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), 
Seagate PRIDE: Thailand chapter, or Seagate’s parents and caregivers group. These ERGs provide educational 
and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local 
community.

 

Location: Teparuk Thailand
Travel: None

Key Skills
StatisticsMachine LearningAnomaly DetectionPythonOpenAI APIsPower BITableauPandasScikit-learnPyODKNIMEData VisualizationClusteringRegressionClassificationTime-series Analysis
Categories
Data & AnalyticsTechnologyEngineeringSoftwareManufacturing