Quality Value & Lean Process Excellence Intern

SUMMARYBuilding on the first phase of the Cost of Non-Quality (CoNQ) project, the intern will extend and operationalise the quantification of quality-related costs and value drivers in operations, so that they are embedded in decision-making and support the value-based prioritisation of process improvement initiatives and resource optimization and allocation.

Use value stream mapping to simplify process and drive right-first-time execution.

Duties And Responsibilities

Cost of Non-Quality

• Build on the pilot CoNQ framework (taxonomy, costing methodology, baseline and driver analysis) to expand the scope of CoNQ quantification and reporting through the definition of additional categories of costs and value drivers relevant to operations, including the value of prevention.
• Define costing principles, assumptions, data sources and governance for the expanded scope, and identify practical calculation methods suitable for routine use.
• Deepen the diagnostic analysis of cost drivers and, where data allows, further develop the prioritisation or predictive approach supporting decision-making.
• Drive the embedding of visual representation of CoNQ drivers in decision-making processes.

Lean / Kaizen analysis of selected processes

• Map the current state of selected processes through value stream mapping, distinguishing value-adding from non-value-adding steps and identifying waste, hand-offs, delays and rework loops.
• Build roles and responsibilities maps, ensuring clear visibility.
• Facilitate Kaizen-oriented workshops with process owners to define future-state proposals and the associated action plans, reinforcing ownership of improvement actions.

Requirements

• Master’s level studies in Science, Industrial Engineering, Operations or Supply Chain Management, Business Analytics, or a relevant discipline;
• Knowledge of Lean / Six Sigma concepts (value stream mapping, RACI, Kaizen);
• Interest in cost modelling and quantitative analysis; proficiency in Excel, Power BI, Python;
• Strong facilitation and interviewing skills;
• Structured, rigorous and autonomous, able to turn unstructured input into clear, documented output;
• Fluency in French and English;
• Ability to collect, analyze and report complex information;
• Customer-oriented mindset.
• Curious mind.

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