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Manufacturing, Transport & Logistics 🏢 Full Time ⭐️ Terverifikasi

Manufacturing Intern

Procter & Gamble
Singapore
Estimasi Gaji
SGD 1.800 – SGD 2.500
Live Update
28 April 2026
Batas Akhir
28 Apr 2027

Deskripsi Pekerjaan

Are you ready to gain new skills to help run and maintain the latest production technology and equipment for the world’s biggest brands? Procter & Gamble offers a dynamic Manufacturing Internship in Singapore where you'll work with cutting-edge manufacturing processes and operational excellence frameworks. This hands-on role provides exposure to global supply chain operations, automation technologies, and sustainable manufacturing practices. You'll collaborate with cross-functional teams to optimize production workflows while developing critical problem-solving and leadership skills. Join our innovation-driven environment where your contributions directly impact product quality and efficiency for iconic brands sold worldwide.

Tanggung Jawab

  • Operate and maintain advanced production machinery and automation systems
  • Monitor production processes to ensure quality standards and operational efficiency
  • Participate in continuous improvement initiatives and root cause analysis
  • Document production metrics and maintain accurate equipment records
  • Adhere to safety protocols and environmental regulations
  • Support implementation of lean manufacturing principles
  • Collaborate with engineering teams on process optimization projects

Kualifikasi

  • Pursuing Bachelor's degree in Engineering, Manufacturing, Supply Chain, or related field
  • Strong analytical skills and attention to detail
  • Basic knowledge of production processes or industrial automation
  • Proficiency in Microsoft Office Suite
  • Excellent problem-solving abilities
  • Effective communication and teamwork skills
  • Ability to work in fast-paced manufacturing environment
  • Previous internship or project experience preferred

Keahlian yang Dibutuhkan

Manufacturing Processes Production Technology Equipment Maintenance Quality Control Problem Solving Lean Manufacturing Automation Data Analysis

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