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