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Seagate Technology Singapore

Global Quality Intern, Data Visualization

Early Applicant
  • Posted 19 days ago
  • Be among the first 10 applicants
Fresher

IT/Computers - Hardware & Networking

Job Description

About our group:

The Global Quality AI/Process Control (AI/PC) team's mission is to develop and deploy advanced AI capabilities to improve product quality, reliability, and process efficiency across Seagate. The team works on anomaly detection, data visualization, and building agentic AI systems to accelerate engineering decisions. This role provides exposure to data product thinking, collaboration with cross-functional engineering teams, and opportunities to contribute to Seagate's AI transformation journey.

About the role - you will:

  • Support development of agentic AI prototypes for Global Quality, especially around anomaly detection and process-control dashboards.
  • Design interactive visualizations (dashboards, mock-ups, SharePoint UI, or lightweight web apps) to present anomalies, CTQ/KPIV trends, and model insights in an intuitive and storytelling format.
  • Work closely with engineering SMEs to translate statistical/anomaly outputs into human-readable narratives, supporting adoption and decision-making.
  • Explore automation of reporting/visual insights into SharePoint/Power BI or similar platforms for real-time accessibility.

What Will You Learn and Embark on at the Start

You will begin by familiarizing yourself with Seagate's quality datasets (ORT/COH) and AI/ML initiatives. Initial tasks include creating visualization prototypes, developing SharePoint dashboards, and supporting agentic workflow experiments.

What You Would Ultimately Be Able to Be Proficient In

You will gain proficiency in agentic AI design, dashboard development, data storytelling, and enterprise reporting platforms. You will also develop strong collaboration skills with engineers and data scientists while contributing to systematic AI deployment.

About you:

  • Enthusiastic and motivated to learn AI-driven visualization and automation.
  • Adaptable, with the ability to work in dynamic, evolving environments.
  • Strong communication and storytelling mindset.
  • Collaborative, able to work with cross-functional engineering teams.
  • Able to commitment a full time Semester internship (Jan - Jun)

Your experience includes:

  • Currently pursuing a degree in Data Science, Computer Science, Engineering, or Information Systems.
  • Familiarity with Python or R visualization libraries (matplotlib, Plotly, Seaborn, D3.js).
  • Experience with dashboard tools (Power BI, Tableau, React/Next.js).
  • Exposure to agentic frameworks (LangChain, crewAI, orchestration pipelines) is a plus.

Location:

The Shugart site (named after Seagate's founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities

Location: Shugart, Singapore
Travel: None

Date Posted: 11/09/2025

Job ID: 126013333

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About Company

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth. Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike. Join us and get inspired to make a difference in the datasphere!

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Last Updated: 30-09-2025 06:21:46 PM
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