Seagate is looking for a Recording Media Operations Intern to contribute to digital transformation within our manufacturing operations. You will apply data, automation, and AI to drive operational improvements as part of the Recording Media Operations team.
What You'll Do
- Collect, clean, label, and organize structured and unstructured datasets including image, numerical, or mixed-type data.
- Perform exploratory data analysis to uncover operational patterns, anomalies, and improvement opportunities.
- Build, test, and evaluate ML models such as classification, regression, and clustering.
- Contribute to feature engineering, data preprocessing, and workflow automation steps.
- Document experiments, summarize findings, and share insights with engineering and operations stakeholders.
- Assist with prototype deployment or light integration work including basic scripts, dashboards, or automation tools.
What We're Looking For
- Currently pursuing a degree in Computer Science, Data Science, Engineering, Statistics, or a similar field.
- Proficiency in Python and common ML libraries like scikit-learn, pandas, and numpy.
- Familiarity with Microsoft Copilot and related apps such as Power Automate and Power BI.
- Basic understanding of supervised learning concepts and evaluation metrics.
- Able to commit to a full-time internship from May/Aug to Dec.
Nice to Have
- Interest in automation, data visualization, or data quality engineering.
Technical Stack
- Python, scikit-learn, pandas, numpy
- Microsoft Copilot, Power Automate, Power BI
Team & Environment
You will be part of the Recording Media Operations manufacturing team, working closely with cross-functional departments.
Benefits & Compensation
- Onsite canteen and coffee shop
- In-house gym and dance studio
- After-work badminton and table tennis competitions
- On-site celebrations and community volunteer opportunities
Work Mode
This is an onsite position located in Woodlands, Singapore, W2.
We value curiosity, analytical thinking, and a strong eagerness to learn new technologies and methods. You should be comfortable working with data and applying logical reasoning to solve real operations problems, while communicating clearly and collaborating with both engineering and manufacturing teams. We're looking for someone who is self-motivated, detail-oriented, and proactive in exploring solutions.
