Logistics Process Improvement Intern — AI-Driven Efficiency

Jingdong Development France

Madrid

On-site

EUR 7,800 - 11,000

Part time

11 days ago

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Job summary

Amazon in Madrid invites you to join as a Process Improvement Specialist Intern. You’ll gain hands-on experience building and refining processes that power large-scale operations and use data and AI tools to drive real impact.

As an intern, you will plan and implement continuous improvement initiatives, analyze feedback, and prototype solutions with AI to raise safety, productivity, and quality across sites.

Qualifications

  • Speak, write, and read fluently in English at C1 level or above.
  • Currently in your penultimate or final year pursuing a degree in business, supply chain, transportation, economics, or similar field.
  • Analytical skills with advanced Excel proficiency (formulas, pivot tables, macros).
  • Ability to communicate with a wide range of stakeholders, including peers and leadership.
  • Eligible to complete a full-time internship lasting between 3 to 6 months.

Responsibilities

  • Plan and implement continuous improvement initiatives to innovate the driver experience and improve efficiency.
  • Use AI tools and data analytics to identify inefficiencies, automate tasks, and prototype solutions.
  • Analyse feedback and use data to own and implement site-wide process improvements.
  • Collaborate with station management and stakeholders to resolve process-related issues.
  • Audit processes for compliance and support data-driven decisions.

Skills

Fluent English
Analytical skills
Stakeholder communication

Education

Business/Supply Chain Degree

Tools

Microsoft Excel
Minitab
JMP
MS Access
Python
SQL

Job description

Amazon in Madrid invites you to join as a Process Improvement Specialist Intern. You’ll gain hands-on experience building and refining processes that power large-scale operations and use data and AI tools to drive real impact.

As an intern, you will plan and implement continuous improvement initiatives, analyze feedback, and prototype solutions with AI to raise safety, productivity, and quality across sites.

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