National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Scientist

BBC
Glasgow
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Package Description

Job Reference:21742
Band:D
Salary:£69,000 - £79,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Contract type:Permanent
Location:Salford, Glasgow, Newcastle, London. This is a hybrid role, and the successful candidate will balance office working with home working.

We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.

Excellent career progression –the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.

Unrivalled training and development opportunities –our in-house Academy hosts a wide range of internal and external courses and certification.

Benefits -We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our .

If you need to discuss adjustments or access requirements for the interview process, please contact . For any general queries, please contact: .

Job Introduction

The BBC has been serving audiences online for more than 20 years. Across key products including BBC iPlayer, News, Sport, Weather and Sounds, we entertain, educate and inform audiences in their millions every day. 

 
But behind the scenes we have work to do. We are making the shift from being a broadcaster that speaks to our audiences to becoming a service that is directly shaped by them and designed around their wants and needs. We are creating personalised content, products and services that bring the right content, to the right people, at the right time: a personalised BBC. This will be our greatest leap since iPlayer, and that’s why it’s right at the top of our agenda. 

At the BBC we see data science as fundamental on that journey. We use data and machine learning to enrich our content, improve journalist workflows and power personalised experiences for millions of audience members.

To help drive this effort, we’re looking for a Principal Data Scientist to join the Content Discovery (Recommendations) team. The successful candidate will be a technical leader in a cross-functional team of data scientists, engineers, product managers, editorial, and UX designers, to have real impact on millions of audience members. They will apply their technical expertise to identify and implement the best solutions to build recommender systems able to provide our audiences with the most relevant and engaging content at the right place and the right time – in other words, to build the future of personalisation at the BBC. 

Interview Process

There is a 2-stage process:
• Hiring manager introductory call covering role background and candidate motivations for applying.
• 1.5 hour panel interview including a technical presentation from the candidate and role relevant competency based questions. 

Main Responsibilities

As a Principal Data Scientist, you will work hands-on to deliver value to BBC audiences by developing data science products at scale. We are looking for ‘T-shaped’ individuals, combining a breadth of knowledge with deep specialism in one or two areas. You will do hands-on coding work to develop, deploy and iterate on recommender systems, lead architecture design, implement ideas from recent research papers, do code reviews and set best practices.

The successful candidate will also have strong interpersonal skills to lead projects involving several different teams, such as the data science & engineering, AI research, ML platform and user-facing application teams, and to effectively engage with editorial stakeholders.

Principal Data Scientists at the BBC are expected to have an impact both within their immediate team and across the wider BBC data science/AI community, shaping technical direction, culture and ways of working. We’d love to see enthusiasm about sharing your knowledge and guiding others.

Are you the right candidate

Key criteria: 
• Extensive hands-on experience in data science and machine learning. 
• Strong coding skills in Python.
• Experience developing and deploying recommender systems.
• Proven track record contributing to technical machine learning projects.
• Ability to clearly communicate to both technical and non-technical audiences.
• Ability to work effectively in a cross-functional team.

 
Desirable experience: 
• Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring.
• Good knowledge of cloud services, ideally AWS.
• Knowledge and understanding of best practices such as testing, code management and deployment.
• Mentorship of other team members.

You are encouraged to apply even if you don’t meet every one of the criteria above!

You’ll find above some of the skills and experience we expect from a Principal Data Scientist. Please do not think you have to tick all boxes: you will be working in a supportive and collaborative team, where we aim to put everyone in the condition to contribute at their best and feel that their work is useful and valued. Besides, you will find great development and learning opportunities to support your professional growth.

We value diversity and are committed to be truly inclusive and a place where everyone belongs.

About the BBC

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.

We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us. Please make sure you’ve read about our values and behaviours .

Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all our employees to thrive and achieve their full potential.

We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity.

We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise.

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.