About this role
The intern will collaborate with mentors to define engineering challenges as 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 model manufacturing behavior and enable data-driven operational decisions.
Candidates must have a Bachelor's degree or higher in Data Science, Statistics, Computer Engineering, or a related field, along with substantial experience applying AI/ML technologies to industrial use cases involving tabular, time series, and computer vision data. Proficiency in Python and specific AI/ML libraries such as Scikit-learn, PyTorch, and causal AI tools is required.
What they're looking for
PythonMachine LearningArtificial IntelligenceData ScienceTime Series Foundation ModelsCausal AIAnomaly DetectionRoot Cause Analysis
Frequently asked questions
What does a Data Science & AI Intern at Seagate Technology do?
The intern will collaborate with mentors to define engineering challenges as 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 cau…
What skills does this Data Science & AI Intern role need?
Key skills for this role include Python, Machine Learning, Artificial Intelligence, Data Science, Time Series Foundation Models, Causal AI.
How much does a Data Science & AI Intern at Seagate Technology pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Data Science & AI Intern role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Data Science & AI Intern role?
You can apply directly on Seagate Technology's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.