AI Manufacturing Excellence Intern

Becton Dickinson; Singapore; Vor Ort; SGD 20.000 - 27.000; Vollzeit

Zusammenfassung

Becton, Dickinson and Company (BD) in Singapore invites a full-time six-month internship for students in Engineering, Data Science or IT to help build an AI assistant using enterprise platforms.

You'll gain hands-on experience with Python, Power Platform and data analysis while collaborating with CI teams; travel to Tuas Ave 2 may be required.

BD offers a learning-focused environment with exposure to governance, data sources, and Microsoft 365 tools.

Qualifikationen

• Pursuing a degree in Engineering/DS/CS and available for a full-time 6-month internship.
• Practical exposure to Python or Power Platform and basic SQL.
• Interest in AI, manufacturing and business improvement; travel to Tuas Ave 2.

Aufgaben

• Design and develop an AI assistant on approved platforms.
• Build prompts, workflows and retrieval logic with traceable sources.
• Create safeguards for accuracy and confidentiality of outputs.
• Develop a structured test set for plant questions and edge cases.

Kenntnisse

Python

Power Platform

SQL

Power BI

Ausbildung

Pursuing a degree in Engineering/Data Science/CS/IT/Analytics

Tools

SharePoint

Teams

Microsoft 365 tools

Azure AI Foundry

Jobbeschreibung

AI solution development

Design and develop an AI assistant using an approved enterprise platform such as Microsoft Copilot Studio, Azure AI Foundry or an equivalent governed platform. Build the solution only on approved and certified data layers. Do not connect directly to raw transactional systems unless specifically authorized by the relevant data owner. Develop prompts, workflows and retrieval logic that answer manufacturing productivity questions with traceable sources. Create safeguards that reduce unsupported responses, protect confidential information and require citations for quantitative outputs. Develop and maintain a structured test set covering common plant questions, edge cases, access restrictions and expected responses.

Opportunity identification and recommendation

Analyze certified productivity and cost measures to highlight performance gaps and potential improvement areas by plant, process, asset or loss category. Connect operational losses to relevant cost drivers, including labor hours per unit, scrap, rework, downtime, changeover, energy use and material yield. Develop a recommendation capability that retrieves similar A3, DMAIC, Kaizen, Yokoten and Shingijutsu cases based on problem type, asset, process or waste category. Present recommendations with supporting evidence, source references, estimated value where approved, and clearly stated limitations.

Prompt library and knowledge management

Create a reusable prompt library for productivity analysis, gap identification, root-cause exploration, best-practice retrieval and improvement-project preparation. Organize prompts by user need and manufacturing-excellence workflow so that plant teams can use them consistently. Document assumptions, approved data sources, expected inputs, output format and known limitations for each prompt or agent feature.

Plant capability building and adoption

Conduct an AI maturity and readiness assessment for participating plants, covering data availability, tools, skills and adoption barriers. Run pilot sessions, user testing, office hours and short training sessions for plant engineers and Continuous Improvement leads. Collect user feedback and usage evidence, then prioritize improvements based on business value, usability and adoption. Create user guides, quick-reference materials, FAQs, governance guidance and a structured handover package for the designated business owner. Participate in relevant tier meetings and CI reviews to ensure the solution supports existing ways of working rather than creating a parallel process.

Candidate Profile

Required Currently pursuing a degree in Engineering, Industrial Engineering, Data Science, Computer Science, Information Technology, Business Analytics or a related field. Available for a full-time six-month internship. Practical exposure to Python or Power Platform and basic SQL. Interest in AI, manufacturing, operational excellence and business improvement. Willingness to travel to manufacturing sites at Tuas Avenue 2 when required, Primary work location at Jurong east

Preferred Exposure to Microsoft Copilot Studio, Azure AI Foundry or a comparable enterprise agent platform. Understanding of RAG and common failure modes in generative AI solutions. Lean Six Sigma, Kaizen or manufacturing project experience. Experience facilitating user testing, training or change adoption. Experience with Power BI, SharePoint, Teams or other Microsoft 365 tools.

Why Join Us?

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive. We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visit https://bd.com/careers. Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

Required Skills Optional Skills . Primary Work Location SGP The Strategy Additional Locations Work Shift BD is a leading global medical technology company that creates medical technology, devices and laboratory equipment for a variety of needs across the healthcare continuum. At BD, we are looking for candidates who possess passion, innovative solutions and a commitment to our one mission of improving access to groundbreaking medical and biotechnology services for people near and far, delivering state-of-the-art technology and cutting-edge research in the battle to fight and cure infectious diseases. With a global reach that extends across 50 countries worldwide, our network of professionals collaborates on effective measures to deliver enhanced patient quality such as lower health care delivery costs, improved health care and safety, and expanded health care for all. Join our company and see how you can become a part of one global mission to make a difference in human health.