Operational Excellence - Graduate in Training

Summary

We are seeking a driven and analytical Graduate Trainee Data Scientist to support our Operational Excellence and Digital Transformation agenda.

This role offers a unique opportunity to apply data science to real production challenges-improving efficiency, reducing costs, and enabling smarter, data-driven decision-making across the plant.

Key Responsibilities

• Support the development of data-driven solutions to optimize production performance and efficiency
• Assist in building models for:
  
  
  • Production scheduling optimization
  • Cost vs output optimization (energy, waste, downtime)
  • CIP (Clean-in-Place) optimization
• Analyze plant data to identify:
  
  
  • Inefficiencies
  • Cost drivers
  • Improvement opportunities
• Develop Python-based analytical models and simulations
• Create interactive dashboards (Power BI or similar) for real-time performance tracking
• Support predictive maintenance initiatives using historical equipment data
• Translate analytical insights into practical operational recommendations (playbooks)
• Contribute to business cases, including cost savings and ROI analysis

• Bachelor's degree in:
  
  
  • Data Science
  • Industrial Engineering
  • Computer Science
  • Statistics / Applied Mathematics
  • Or related field
• 0-1 year experience (internships, academic or project work accepted)

• Basic to intermediate proficiency in Python
• Familiarity with:
  
  
  • Data analysis (Pandas, SigmaXL etc)
• Data visualization (Power BI)
• Understanding of:
  
  
  • Statistical analysis
  • Optimization concepts
• Exposure to SQL or manufacturing systems (advantageous)

• Strong analytical and problem-solving skills
• Ability to translate data into actionable insights
• High attention to detail and structured thinking
• Effective communication (technical and non-technical)
• Curiosity, initiative, and willingness to learn