Data Science / Anomaly Detection Intern

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.

Introductory paragraph about the line of business and team:

This intern will support the Global Quality team by contributing to advanced analytics and visualization efforts. The role is integral to enhancing anomaly detection capabilities and improving decision-making through intuitive dashboards and data storytelling.

About the role - you will:

• Develop and test anomaly detection methods (z-score, IQR, clustering, ML-based outlier detection, time-series anomaly methods) for weekly ORT/COH flat tables.
• Assist in benchmarking anomaly detection approaches against current engineering rules (e.g., red/yellow dot sweeps, column swipes).
• Build reproducible Python/KNIME pipelines for anomaly scoring, labeling, and classification at both head- and drive-level.
• Partner with reliability engineers to link anomalies to upstream CTQs/KPIVs and propose early warning indicators.
• Contribute to building MLOps-ready anomaly models that can scale across datasets (190k rows x 300+ columns per week).

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).
• Proficiency in Python (pandas, scikit-learn, PyOD, statsmodels) or KNIME workflows.
• Understanding of time-series data analysis and anomaly scoring methods.
• 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:

Location: Korat Thailand
Travel: None