Join us as an apprentice at the BBC to give yourself the opportunity to kick-start your career in a job you'll love. We’re committed to your skills and talent development. You’ll learn on-the-job, developing your knowledge and skills in an area that interests you, whilst working towards your apprenticeship qualification with one of our learning providers.
Data Science is evolving the way the BBC operates. Our data scientists help us to better understand the customers we serve, and the content served to them, turning raw data into valuable insights and products to better serve audience needs.
Whether audiences are watching on BBC iPlayer, listening on BBC Sounds, reading BBC News and BBC Sport articles or learning on BBC Bitesize, behind the scenes data scientists are at work...fancy being one of them?!
As a Data Scientist Apprentice at the BBC, you’ll join a supportive, forward-thinking community where your work has real impact. You’ll grow through a mix of hands-on projects and dedicated study, earning an industry-recognised qualification. You’ll be part of a culture that values curiosity, creativity, and collaboration, helping to shape the future of media while building a strong foundation for your data science career.
The BBC’s Media Tech Group builds the apps and products that bring incredible BBC content to millions of audience members across the UK and beyond. Increasingly machine learning and artificial intelligence play a crucial part in delivering these services effectively and efficiently.
We are looking for individuals intrigued by how we use maths and code to deliver real-world impact, collaborating with hundreds of amazing colleagues to create the BBC’s digital future. You’ll get on-the-job experience with our brilliant teams of data experts while also studying towards a degree. A fantastic opportunity to kick-start your career, building the world’s most in-demand skillset!
As a Data Scientist (DSD27) apprentice, this is a brilliant opportunity to learn, grow, and contribute – you will:
You’ll study for your industry recognised apprenticeship qualification, learning both on and off the job. This means you’ll spend at least one day a week studying for a BSc (Hons) in Data Science with BPP University remotely studying topics including:
We’re interested in your passion for working at the BBC and your enthusiasm for delivering world-class content and operational excellence to our audiences. We’re not focused on your qualifications; instead, we look for potential and offer you the opportunity to apply your transferable strengths and experience to work in different ways.
If you can bring some of these skills and experiences, along with transferable strengths, we’d love to hear from you and encourage you to apply:
This scheme is aimed at non-graduates.
To be eligible for an apprenticeship at the BBC, you must:
To apply for this scheme, you must also:
Here you will benefit from:
As an Apprentice you will also receive:
Don’t leave yourself wondering "what if?" this could be your chance to be part of something exciting. See yourself thriving in this role? Just click ‘Apply online now’!
You’ll create a candidate profile and answer a few questions - no CV or cover letter needed. If you're eligible, we’ll guide you through the next steps of the process and what to expect.
This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme. Once you have completed your apprenticeship, you will be able to apply for any suitable open vacancies at the BBC or outside in the wider creative industry. You’ll be supported with career development, employability training, and networking opportunities to help you take your next step.
You’ll need to live within a commutable distance of where this role is based.
For apprenticeship opportunities, disabled applicants who choose to apply under the Disability Confident Scheme and who meet the minimum criteria for the role will normally be progressed to the next stage of the recruitment process. For most of our campaigns, this would be an online assessment designed to assess your skills, motivations and suitability for the role.