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Business Digitalisation & AI Automation Intern

Job in Denham, Buckinghamshire, IP21, England, UK
Listing for: SmartRecruiters, Inc.
Apprenticeship/Internship position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 20000 - 26000 GBP Yearly GBP 20000.00 26000.00 YEAR
Job Description & How to Apply Below
Business Digitalisation & AI Automation Intern
  • Full-time

Do you want your ideas to shape the technology of the future? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve the lives of people across the world.

Welcome to Bosch.

The Bosch Group operates in four business sectors:
Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology employing over 420,000 associates in 128 countries worldwide – 85,000 associates in research and development, of which nearly 44,000 are software engineers, and more than 6,000 associates in the UK and Ireland.

About the Team

Our team oversees end-to-end order management and accounts receivable processes for leading UK-based vehicle manufacturers supplied by Bosch with a wide range of automotive components.

We handle commercial workflows, operational data and recurring business routines daily. We are eager to innovate, eliminate manual friction, and adopt cutting-edge digital and AI tools to make our operations faster, smarter, and more seamless.

About the Role

Are you passionate about artificial intelligence, modern digital tools, and finding smart ways to automate repetitive workflows? Do you love taking a real-world problem and figuring out the best solution to solve it?

We are looking for a curious, proactive, and tech-savvy Business Digitalisation & AI Automation Intern to join our team.

The dynamic is simple and exciting:
the team brings the business ideas, process bottlenecks, and operational goals—and you explore, prototype, and implement the automation and AI tools that bring those ideas to life. You will work hand-in-hand with colleagues across the team to translate day-to-day challenges into automated, streamlined, and scalable digital workflows.

What You’ll Do
  • Collaborate & Brainstorm: Partner closely with team members to understand existing business processes, pain points, and strategic priorities.
  • Research & Recommend Solutions: Identify the best automation platforms, AI tools, or low-code/no-code solutions to address specific operational needs.
  • Design & Implement: Build, test, and deploy automated workflows, data integrations, and smart toolsets (e.g., document parsing, automated reporting, communication flows, AI assistants).
  • Clarify Modern Tech: Show the team how new tools work, provide quick walk-throughs, and gather feedback to continuously refine implementations.
  • Drive Measurable Impact: Help quantify time saved, process reliability improved, and business agility gained through your solutions.
Who You Are
  • Curious & Experimenter Mindset: You stay on top of the latest developments in generative AI, automation platforms, and digital productivity tools. You enjoy testing new tools and figuring out what works best.
  • Hands-on & Resourceful: When presented with a business challenge, you have a pro-active, resolution finding mindset.
  • Collaborative Communicator: You enjoy working alongside non-technical colleagues, listening to their needs, and explaining digital concepts in clear, practical terms.
  • Relevant Academic or Practical Background: Currently enrolled in (or recently graduated from) a degree in Computer Science, Business Informatics, Data Analytics, Engineering, Business Administration with a digital focus, or equivalent self-taught project experience.
  • Studying an undergraduate degree in Computer Science, Artificial Intelligence or a similar degree.
  • You have knowledge and keen interest on the following:
  • Automation & Workflow Tools: Power Automate or similar workflow automation platforms.
  • Modern AI Tooling: Practical experience with Large Language Models (LLMs), prompt engineering, custom GPTs, retrieval-augmented…
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