At a Glance
- Tasks: Transform raw data into meaningful insights and tackle real business challenges.
- Company: Join Mercedes-Benz Vans, a leader in innovation and sustainable transport.
- Benefits: Competitive salary, flexible benefits, 25 days holiday, and mentorship from industry experts.
- Other info: Gain hands-on experience and develop skills for the digital roles of the future.
- Why this job: Be part of a forward-thinking team shaping the future of transport and data analytics.
- Qualifications: GCSE grade 4 in Maths and English; some work or volunteer experience required.
The predicted salary is between 18000 - 25000 £ per year.
Duration: Fixed-Term Contract 2 years
Location: Milton Keynes
About Mercedes-Benz Vans
At Mercedes-Benz Vans UK, we’re on a mission to show how essential vans are to everyday life — from supporting local businesses and communities to powering vital services. More than a commercial vehicle brand, we’re a trusted partner driving progress through innovation in electric mobility and digital solutions. As we shape the future of sustainable transport, we’re seeking passionate, curious, and driven individuals to learn, grow, and make an impact alongside a diverse team united by one goal: keeping the world moving forward. Join us and be part of a forward-thinking team that’s reimagining the road ahead.
About our programme
On our Data Fellowship Level 4 apprenticeship, you’ll develop into a confident analyst who can transform raw data into meaningful insights that organisations can take action on. In this role, you’ll contribute to day-to-day work with real purpose, take part in innovative projects, and put your learning into practice from the very start. This programme is delivered in partnership with Multiverse. You’ll learn through a combination of online content, instructor‑led live workshops, and interactive sessions that deepen your understanding of key concepts. You’ll also be supported throughout by a dedicated coach who will guide you, tutor you, and help you apply your learning through hands‑on projects.
During the apprenticeship, you’ll gain a broad range of skills, including data visualisation and integration using BI tools, data modelling, advanced analytics, and statistical methods. Equipped with these capabilities, you’ll help improve business decision‑making and increase access to clean, structured, and valuable data across the organisation. You would be expected to work from the office five days a week to collaborate and connect, with flexibility available at your manager's discretion when needed.
What’s on offer?
- Gaining a Level 4 apprenticeship standard in Data Analytics
- Market‑leading curriculum content developed by a team of learning design and data experts
- Mentorships from some of the most forward‑thinking automotive professionals
- Networking opportunities
- Industry insight and events
Some of the skills you can expect to gain:
- Hands‑on experience working with real business challenges
- Strong commercial awareness and the ability to think strategically
- Confident, clear, and professional communication skills
- Cutting‑edge capabilities for the data and digital roles of the future
- A blend of technical know‑how and standout people skills
- Deep insight into how the industry operates and evolves
What we are looking for:
- Strong organisational skills
- Passionate about joining our brand
- Proactive and confident
- The curiosity to learn, and seek new ideas and perspectives
- You will need to have some work and/or volunteer experience
- You will also have GCSE grade 4 in Maths and English Language (or equivalent)
- You’ll have been a UK/EU/EAA resident for at least three years before the programme starts and have the Right to work in the UK
- You’ll have not previously studied the course content
Additional benefits
- A competitive salary
- 1.4% flexible benefits pot to spend on things like discounted gym membership, dental insurance and additional annual leave
- 25 days holiday per year, plus bank holidays
Due to UK legislation, we need to let you know that we can only accept applications from those with the right to work in the UK.
Mercedes-Benz Vans Data Fellowship Apprenticeship - Level 4 (2 year FTC) in Milton Keynes employer: Daimler Trucks North America LLC
At Mercedes-Benz Vans UK, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Data Fellowship Apprenticeship offers a unique opportunity to gain hands-on experience in data analytics while working alongside industry experts in a supportive environment. With competitive benefits, a commitment to employee growth, and a focus on sustainable transport, joining our team in Milton Keynes means becoming part of a forward-thinking organisation dedicated to making a meaningful impact.
Contact Details:
Daimler Trucks North America LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Mercedes-Benz Vans Data Fellowship Apprenticeship - Level 4 (2 year FTC) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to current or former apprentices at Mercedes-Benz Vans on LinkedIn. Ask them about their experiences and any insider tips they might have. This can give you a leg up and show your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by researching the company and its values. Understand how Mercedes-Benz Vans is shaping the future of transport and think about how your skills can contribute to that mission. We want to see your passion shine through!
✨Tip Number 3
Practice your data analysis skills before the interview. Brush up on tools and techniques relevant to the apprenticeship, like data visualisation and analytics. Being able to discuss these confidently will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our innovative team at Mercedes-Benz Vans. Let’s get you on the road to success!
We think you need these skills to ace Mercedes-Benz Vans Data Fellowship Apprenticeship - Level 4 (2 year FTC) in Milton Keynes
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for the role! In your application, share why you're excited about the Data Fellowship and how it aligns with your career goals. A genuine passion can really make you stand out.
Tailor Your CV:Make sure your CV is tailored to the apprenticeship. Highlight any relevant experience, skills, or projects that relate to data analytics. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell your story. Use it to explain why you’re a great fit for the programme and how your background has prepared you for this opportunity. Keep it engaging and personal!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and the application process there.
How to prepare for a job interview at Daimler Trucks North America LLC
✨Know Your Data
Familiarise yourself with basic data concepts and analytics tools. Since this role involves transforming raw data into insights, being able to discuss your understanding of data visualisation and BI tools will impress the interviewers.
✨Show Your Passion
Express your enthusiasm for the automotive industry and sustainable transport. Share any relevant experiences or projects that demonstrate your curiosity and proactive nature, as these qualities are highly valued by Mercedes-Benz Vans.
✨Prepare Questions
Have a few thoughtful questions ready about the apprenticeship programme and the company’s approach to innovation in electric mobility. This shows you’re engaged and genuinely interested in how you can contribute to their mission.
✨Practice Communication Skills
Since clear and professional communication is key, practice articulating your thoughts on data-related topics. You might even want to do a mock interview with a friend to build confidence and ensure you convey your ideas effectively.
