Amazon
Location
Remote (UK)
Deadline
5 October 2026
Type
virtual simulation
AI isn’t science fiction anymore, it’s part of your morning routine. It queues your playlists, helps you check out faster, even suggests your next favourite show. But behind every smart recommendation or voice command is a world of digital skills employers are desperate for. That’s where this Digital Skills Sprint with Amazon comes in. You’ll explore how artificial intelligence shapes real jobs, from logistics to design and discover what AI literacy really means in today’s workplaces. This short, interactive experience breaks down how AI works, why it matters, and how it’s transforming careers across every industry. You’ll see how teams use AI to solve problems, boost creativity, and improve decision-making, skills that are quickly becoming essential for the future of work. If you’re curious about tech, creativity, or problem-solving, this sprint will help you understand AI in action and build the confidence to use it - wherever your career takes you
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
See entry requirements on employer listingUse these cues to judge how complete and actionable this listing looks.
Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.
Student note
Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.
Typical process
Fewer than 3% of applicants
Online application
Day 1
Online assessment (Work Simulation + coding for tech roles)
1–2 weeks after application
The Work Simulation tests judgement aligned to Amazon Leadership Principles. Read all 16 LPs before starting.
Phone screen
1–2 weeks after assessment
Loop interviews (4–7 interviews in a day)
2–3 weeks after phone screen
Every interview uses the Leadership Principles. Prepare 2–3 STAR stories per principle, especially Ownership and Customer Obsession.
Application tips
Location
Remote (UK)
Deadline
5 October 2026
Type
virtual simulation
AI isn’t science fiction anymore, it’s part of your morning routine. It queues your playlists, helps you check out faster, even suggests your next favourite show. But behind every smart recommendation or voice command is a world of digital skills employers are desperate for. That’s where this Digital Skills Sprint with Amazon comes in. You’ll explore how artificial intelligence shapes real jobs, from logistics to design and discover what AI literacy really means in today’s workplaces. This short, interactive experience breaks down how AI works, why it matters, and how it’s transforming careers across every industry. You’ll see how teams use AI to solve problems, boost creativity, and improve decision-making, skills that are quickly becoming essential for the future of work. If you’re curious about tech, creativity, or problem-solving, this sprint will help you understand AI in action and build the confidence to use it - wherever your career takes you
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
See entry requirements on employer listingUse these cues to judge how complete and actionable this listing looks.
Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.
Student note
Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.
Typical process
Fewer than 3% of applicants
Online application
Day 1
Online assessment (Work Simulation + coding for tech roles)
1–2 weeks after application
The Work Simulation tests judgement aligned to Amazon Leadership Principles. Read all 16 LPs before starting.
Phone screen
1–2 weeks after assessment
Loop interviews (4–7 interviews in a day)
2–3 weeks after phone screen
Every interview uses the Leadership Principles. Prepare 2–3 STAR stories per principle, especially Ownership and Customer Obsession.
Application tips