Programme description
About this opportunity
As a Process Improvement Specialist, you will be at the forefront of making Amazon better – which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. You will also use AI-powered tools to analyse data, generate insights, and accelerate the development of solutions — from automating reports to modelling the impact of process changes before implementation. You will be based at one of our locations and accountable for positively influencing operational efficiency. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you will have the opportunity to share best practices and ideas with our EU network. In this role, you will use data and AI to drive improvements and continue to grow our shipping capabilities.
Responsibilities
- - Plan and implement continuous improvement initiatives designed to innovate the driver experience and make our processes more efficient
- - Use AI tools and data analytics to identify process inefficiencies, automate repetitive tasks, and prototype solutions
- - Analyse feedback and use data to own and implement process improvements at the site
- - Work with station management and other stakeholders to identify and solve process-related issues
- - Audit processes for compliance and work to close any gaps by supporting business decisions with analytics
Qualifications and requirements
- - Speak, write, and read fluently in English at C1 level or above
- - Work 40 hours/week minimum and commit to 3 to 6 month internship maximum
- - Currently in your penultimate or final year and working towards a university degree in business, supply chain, transportation, economics or similar field
- - Analytical skills with advanced level in Microsoft Excel (e.g., formulas, pivot tables, macros)
- - Relevant fluency of communicating with a wide range of stakeholders, including your peers and leadership
- - Relevant understanding in using AI or digital tools to support analysis, automation, or problem-solving
- - Understanding of Lean, Six Sigma, and Kaizen techniques
- - Understanding of scripting tool such as Python or SQL would be advantageous
Why you may be eligible
The official source lists United Kingdom as the eligible location. Confirm any residence, nationality, education and graduation-year requirements before applying.
Application checklist
Prepare a focused application
- Match your CV to the programme’s required skills and education.
- Prepare a concise motivation statement with relevant projects or experience.
- No application fee was identified during our review. Confirm the official listing and never pay an unofficial recruiter.