Manufacturing Operations Intern: Quality & Process Insight

Rolls-Royce plc

Singapore

Hybride

SGD 12 000 - 15 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Meaningful work from day one
Professional development opportunities
Global company exposure
Growth through real projects

Résumé du poste

Rolls-Royce invites engineering students to join the Corporate Internship in Seletar, Singapore, January to May/June 2027. You will support Quality and Manufacturing, analyze production data and help implement CAPAs, gaining hands-on exposure to manufacturing processes and regulatory compliance.

You'll work on schedules, risk management and reporting, with exposure to change control and cost tracking, and develop skills in Python, Anaconda and Power BI within a global manufacturing environment.

Qualifications

  • Engineering students (Mechanical, Aerospace, Electrical, etc.) with preference for Computer or Electrical Engineering
  • Strong drive to complete projects and tasks
  • Structured, process-oriented approach with strong analytical ability and communication skills
  • Ability to work independently and in a team
  • Background in systems applications/engineering; familiarity with Python, Anaconda, Power BI for data-focused initiatives

Responsabilités

  • Support production activities (safety, quality, delivery and planning)
  • Assist Production Leader in risk identification, assessment and management
  • Produce production schedules within cost, time and resource estimates
  • Prepare and maintain realistic production and quality plans; report progress
  • Monitor costs, timescales and resources; flag deviations
  • Assist in change control procedures and sign-offs
  • Prepare production, programme and portfolio reports from data systems

Connaissances

Python
Anaconda
Power BI

Outils

Python
Anaconda
Power BI

Description du poste

Rolls-Royce invites engineering students to join the Corporate Internship in Seletar, Singapore, January to May/June 2027. You will support Quality and Manufacturing, analyze production data and help implement CAPAs, gaining hands-on exposure to manufacturing processes and regulatory compliance.

You'll work on schedules, risk management and reporting, with exposure to change control and cost tracking, and develop skills in Python, Anaconda and Power BI within a global manufacturing environment.

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