INTERNSHIP DETAILS

Data Science & AI Intern

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedApril 15, 2026
Internship Information
Core Responsibilities
The intern will collaborate with data scientist mentors to transform business and engineering challenges into defined AI problems, focusing on developing anomaly detection and root cause analysis solutions for complex manufacturing processes. This involves applying advanced data science techniques like time series foundation models and causal AI to accurately model manufacturing behavior and enable data-driven operational decisions.
Internship Type
full time
Company Size
16560
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 Global Operational Intelligence Group transforms data into actionable insights to support factory operations in delivering industry-leading hard disk drive solutions. We aim to drive Seagate factory’s digitalization and intelligence by leveraging advanced analytics, machine learning (ML), and artificial intelligence (AI) to optimize operations and unlock new business value.

About the role - you will:

  • Work closely with data scientist mentors to formulate business and engineering challenges as well‑defined AI problems, developing anomaly detection (AD) and root cause analysis (RCA) solutions for complex manufacturing processes and capacity planning controls
  • Apply advanced data science techniques—including time series foundation models for machine sensor AD problems, causal AI for RCA problems, and AI-driven optimization and reasoning of actionable parameters—to accurately model manufacturing behavior and enable data driven, resilient operational decision making
  • Design and implement scalable data and AI systems for large‑scale manufacturing datasets, leveraging Python, advanced AI/ML modeling, and enterprise analytics platforms to deliver reliable, production‑ready insights in real operating environments

About you:

  • Passionate about AI/ML technology with a focus on delivering practical business value
  • Collaborative, adaptable, and effective in team environments
  • Proven ability to drive initiatives and influence key outcomes
  • Strong problem-solving mindset, with organizational and time management skills

Your experience includes:

  • Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, or a related field
  • Substantial experience in AI/ML technologies applied to industrial use cases, including projects involving tabular data, time series data, and computer vision, in order of importance
  • Proficient in Python for model development with some experience in libraries (Polar, Scikit-learn), deep learning frameworks (PyTorch), hyperparameter tuning (Optuna), causal AI (DoWhy, PyMC), optimization and simulation (SciPy, Google OR-Tools, Evolutionary Algorithms, Mesa), GenAI-based complex reasoning (OctoTools) and evolutionary coding agents (OpenEvolve)

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
PythonMachine LearningArtificial IntelligenceData ScienceTime Series Foundation ModelsCausal AIAnomaly DetectionRoot Cause AnalysisOptimizationScikit-learnPyTorchOptunaDoWhyPyMCSciPyGoogle OR-Tools
Categories
Data & AnalyticsScience & ResearchEngineeringManufacturingSoftware