Intern - Automation Development Engineer; Studying Master's Degree

Intern
- Automation Development Engineer (Studying Master's Degree)

The Data Analytics / Computer Science Intern (Master's Level) will join Western Digital's Head Backend Business Unit for a structured 3-6 month internship at the Thailand site (THO). This graduate-level role is designed for students with advanced analytics or AI/ML capabilities who can contribute independently to meaningful data initiatives within a precision manufacturing environment.

The intern will work on substantive analytics projects -- including predictive modeling, process intelligence, or automation initiatives -- under the guidance of senior engineering staff. Strong performers will be considered for conversion to the ECT
- Data Analytics (Master's) track under the BEST Program.

High-performing interns will be considered for conversion to the ECT - under the BEST Program.

Key responsibilities include:

• Designing and executing an analytics or ML project with defined scope and measurable deliverables
• Building or enhancing data pipelines, models, or dashboards used by engineering teams
• Applying advanced statistical or machine learning techniques to manufacturing process data
• Documenting methodology and presenting results to engineering leadership
• Collaborating with process engineers to ensure outputs are operationally relevant
• Participating in structured internship assessments and IDP-lite development conversations

This position is part of our Early Career program  Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Required:

• Currently pursuing a Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering with advanced analytics/AI specialization, or equivalent experience
• Completed a Bachelor's degree in a technical field
• Advanced proficiency in Python and/or R; working knowledge of SQL
• Active thesis or project in ML, data science, or applied analytics
• Available for 3-6 months structured internship

Preferred:

• Research or thesis involving machine learning, predictive modeling, or process analytics
• Familiarity with cloud platforms (AWS, Azure, GCP) or big data tools
• Experience with time-series data, anomaly detection, or sensor analytics
• Publication, competition recognition, or open-source contribution in data/AI
• Exposure to manufacturing or industrial data environments

Skills:

• Advanced Python/R with software engineering best practices
• Machine learning model development and validation
• Statistical analysis and experimental design
• Strong analytical communication - ability to present complex findings clearly
• Independent project management with structured deliverables
• High intellectual curiosity and research discipline
• Strong written and verbal English communication