💼 HP Internship 2026 – College Intern (Data Engineering & AI) | Apply Now

HP has announced an exciting opportunity for students to join as College Intern – Data Engineering & AI in Singapore (South West). This internship offers hands‑on experience in data engineering, manufacturing analytics, and generative AI applications within HP’s global operations.

📅 Key Details

  • Job ID: UNI4131
  • Location: Singapore, South West
  • Workstyle: Flex (Hybrid)
  • Duration: 5–6 months (Full‑time, starting January 2027)
  • Department: Data Engineering & AI – Manufacturing Operations

🎯 Role Overview

  • Develop and revamp manufacturing data products integrating Level 3 functional data.
  • Design and maintain standardized data pipelines for reporting and automation.
  • Analyze operational data to identify workflow optimization opportunities.
  • Work on Generative AI use cases such as automated reporting, anomaly detection, and knowledge management.
  • Collaborate with cross‑functional teams to deliver scalable AI‑driven solutions.

👩‍💻 Eligibility Criteria

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or related fields.
  • Basic knowledge of Python, SQL, data analytics, and visualization tools (Power BI, Tableau).
  • Strong analytical, problem‑solving, and communication skills.
  • Interest in manufacturing operations and digital transformation.

🌍 About HP

HP operates in over 170 countries and is committed to creating technology that makes life better for everyone. As a Human Capital Partner in Singapore, HP promotes progressive workplace practices and sustainable impact for people and the planet.

🔗 Apply Online

Interested candidates can apply directly through HP’s official career portal:

👉 Apply Now – HP College Intern (Data Engineering & AI)

✅ Summary

The HP College Internship 2026 in Data Engineering & AI is a golden opportunity for students passionate about data, automation, and AI innovation. This program provides real‑world exposure to HP’s manufacturing analytics and digital transformation projects in Singapore.