Principal Data Scientist

BBC
Cardiff
3 days ago
Create job alert

This job is with BBC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

JOB DETAILS JOB BAND: D
CONTRACT TYPE: Permanent, Full-time
DEPARTMENT: BBC Product Group - Account & Identity
LOCATION: London / Cardiff / Newcastle / Salford / Glasgow - Hybrid working with 1 day a week expected in office base location.
PROPOSED SALARY RANGE: £73,000 - £83,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.
PURPOSE OF THE ROLE The BBC has been serving audiences online for decades, across key products such as BBC iPlayer. As we evolve to deliver more personalised content and experiences, Data Science is at the heart of that transformation.
As a team, we use ML / AI to enrich our content and power personalised experiences for millions of audience members. We're looking for a Principal Data Scientist to join the Product Group.
WHY JOIN THE TEAM As Principal Data Scientist you'll play a hands-on role in building machine learning products at BBC scale. Working as part of a highly cross-functional team, you'll help overcome the challenges of deploying ML in production.
You'll have the opportunity to get involved with the wider data science community, both at the BBC and externally. We hope you'll be enthusiastic about sharing your knowledge and growing others.
YOUR KEY RESPONSIBILITIES AND IMPACT You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise.
You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products.
You'll bring experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production.
You'll be responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively.
You'll join the wider BBC Data Science community, with internal and external opportunities to get involved and share your knowledge.
YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA:
A strong understanding of data science and machine learning techniques, including recent advances and their applications for implementation in a production environment.
Good general programming skills, particularly in python, including knowledge of code management and deployment.
The ability to contribute effectively in a cross-functional team, including the ability to prioritise and work in a structured manner.
The ability to communicate to both technical and non-technical audiences.
DESIRED BUT NOT REQUIRED:
A strong understanding and significant experience of development and productionisation of data science products, including use of NLP techniques.
Experience developing ML/AI solutions within a cloud computing platform - we use AWS.
A strong understanding of Generative AI techniques, notably LLMs, including recent advances and their applications for responsible implementation in a production environment.
Experience of supporting other Data Scientist/s with their technical work to deliver value in production.
Experience with model lifecycle management and MLOps.
If you can bring some of these skills and experience, along with transferable strengths, we'd love to hear from you and encourage you to apply.
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist: Recommender & Personalization Lead

Principal Data Scientist — Healthcare AI Leader

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.