AI-Driven Quality & Smart Manufacturing Intern

Givaudan; Singapore; On-site; SGD 13,000 - 27,000; Full time

Job summary

Givaudan in Singapore invites university interns to join our Operations Excellence journey at the intersection of Quality by Design, Smart Manufacturing and AI applications in flavour manufacturing. You'll work under supervision to map processes, analyze data and build dashboards while learning from seasoned professionals.

This internship offers hands-on exposure to cross-functional teams in Operations, Quality and R&D, with deliverables including process maps, literature reviews, datasets

Qualifications

• Bachelor's degree in a relevant engineering/science field and available for university internship.
• Interest in Smart Manufacturing, Industry 4.0, data analytics or AI applications.
• Familiarity with data analysis using Excel; exposure to Power BI or Python is advantageous.

Responsibilities

• Assist in mapping and documenting flavour manufacturing processes.
• Collect, organize and analyze manufacturing and quality data under supervision.
• Develop simple dashboards and visualizations to support decisions.
• Explore AI and predictive quality use cases and support PoC studies.
• Collaborate with Operations, Quality, R&D and Digital teams; present findings.

Skills

Data analytics

Excel

Power BI

Minitab

Python

AI applications

Education

Bachelor's Degree in Chemical Engineering, Industrial Engineering, Process Systems Engineering, Data Science, Statistics, Computer Science or relevant fields

Tools

Power BI

Minitab

Python

Job description

Givaudan in Singapore invites university interns to join our Operations Excellence journey at the intersection of Quality by Design, Smart Manufacturing and AI applications in flavour manufacturing. You'll work under supervision to map processes, analyze data and build dashboards while learning from seasoned professionals.

This internship offers hands-on exposure to cross-functional teams in Operations, Quality and R&D, with deliverables including process maps, literature reviews, datasets