Intern: AI-Driven Demand Fulfilment

Organon LLC; Singapore; On-site; SGD 18,000 - 30,000; Part time

Job summary

Organon LLC in Singapore offers an internship in Demand Fulfilment Planning to gain hands-on exposure in a regional supply chain environment. The intern will support basic planning activities, reporting, and simple scenario analysis, while also assisting the team in leveraging AI and automation to improve planning efficiency.

Ideal candidates are undergraduate or graduate students in Supply Chain, Business, Analytics, Engineering, or related fields, with strong Excel skills and exposure to Power

Qualifications

• Undergraduate or graduate student in relevant fields.
• Strong interest in supply chain planning, data, and process improvement.
• Proficient in Excel; exposure to Power BI, Python, or AI tools is an advantage.
• Analytical, detail-oriented, and willing to learn.
• Good communication and teamwork skills.

Responsibilities

• Support day-to-day demand fulfilment planning tasks, including data preparation and basic analysis.
• Assist in maintaining and updating demand, supply, and inventory-related reports.
• Support automation of recurring reports using Excel, Power BI, or AI-enabled tools.
• Assist in simple scenario planning exercises and comparison of outcomes.
• Support data validation, documentation of processes, and preparation of basic presentation materials.
• Provide ad-hoc analytical and administrative support to the DFP team.

Skills

Analytical

Detail-oriented

Communication skills

Teamwork skills

Willing to learn

Education

Undergraduate or graduate student in Supply Chain, Business, Analytics, Engineering, or related fields

Tools

Excel

Power BI

Python

AI tools

Job description

Organon LLC in Singapore offers an internship in Demand Fulfilment Planning to gain hands-on exposure in a regional supply chain environment. The intern will support basic planning activities, reporting, and simple scenario analysis, while also assisting the team in leveraging AI and automation to improve planning efficiency.

Ideal candidates are undergraduate or graduate students in Supply Chain, Business, Analytics, Engineering, or related fields, with strong Excel skills and exposure to Power