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

Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES: 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 at WD. Our 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. Qualifications 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  Additional Information #LI-SB1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com. Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.