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.
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
#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.
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