Key Takeaways
- Plan and implement continuous improvement initiatives using AI and data analytics.
- Internship duration of 3 to 6 months, working 40 hours/week.
- Requires current penultimate or final year university students in business, supply chain, transportation, or economics.
- Develops skills in process improvement, data analysis, and stakeholder management.
About the Role
This internship focuses on planning and implementing continuous improvement initiatives to innovate the driver experience and enhance process efficiency.
What You'll Do
- Plan and implement continuous improvement initiatives to innovate the driver experience and make processes more efficient.
- Utilise 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.
- Collaborate 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.
A Day in the Life
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.
Basic Qualifications
- Speak, write, and read fluently in English at C1 level or above.
- Work 40 hours/week minimum and commit to a 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.
Preferred Qualifications
- 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 tools such as Python or SQL would be advantageous.
- Proficiency with supporting tools (e.g., Minitab, JMP, MS Excel, and MS Access).