College Intern - Data Engineering & AI

College Intern - Data Engineering & AI (Manufacturing Operations)

What the College Intern - Data Engineering & AI does at HP:

• Develop and revamp Manufacturing Operations data products, incorporating Manufacturing and other Level 3 (L3) functional data where applicable.
• Design, build, and maintain standardized data pipelines to improve data enablement, reporting efficiency, and process automation.
• Analyze operational data to identify opportunities for workflow optimization and enhanced business insights.
• Pilot, develop, and evaluate Generative AI use cases within factory operations, including:
  • Automated operational reporting
  • AI-generated anomaly detection narratives and insights
  • Knowledge management and information retrieval solutions
• Support the implementation and validation of AI-driven solutions to improve operational effectiveness and decision-making.
• Collaborate with cross-functional teams to understand business requirements, gather data needs, and deliver scalable solutions.
• Document data models, processes, and AI use cases to ensure knowledge sharing and sustainable adoption.
• Present findings, recommendations, and project outcomes to stakeholders.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Information Systems, Industrial Engineering, or a related field.
• Able to commit for a 5–6 months full-time internship starting in January 2027.
• Basic knowledge of data analytics, database concepts, and programming languages such as Python or SQL.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Effective communication and stakeholder engagement skills.
• Experience with data visualization and analytics tools (e.g., Power BI, Tableau).
• Familiarity with data pipeline development, ETL processes, or cloud-based data platforms.
• Exposure to machine learning, Generative AI, large language models (LLMs), or AI application development.
• Interest in manufacturing operations, process optimization, and digital transformation initiatives.

Role Details

• Job: Administration
• Schedule: Full time
• Shift: No shift premium (Singapore)
• Travel: Not specified
• Relocation: Equal Opportunity Employer (EEO)