hp1d ago
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College Intern - Data Engineering & AI
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EngineeringData Engineering
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Quick Summary
Requirements Summary
* 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
Technical Tools
EngineeringData Engineering
College Intern - Data Engineering & AI
Description -
What a 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.
Individuals who do well in this role at HP, usually possess:
* 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.
Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.
HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.
#Li-Post
Job -
Administration
Schedule -
Full time
Shift -
No shift premium (Singapore)
Travel -
Relocation -
Equal Opportunity Employer (EEO) \-
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
Location & Eligibility
Where is the job
—
Location terms not specified
Listing Details
- Posted
- August 17, 2026
- First seen
- August 17, 2026
- Last seen
- August 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- August 17, 2026
Signal breakdown
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