Principal Data Scientist

BBC
London
1 week ago
Create job alert

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.

Related Jobs

View all jobs

Principal Data Scientist - Generative AI

Principal Data Scientist AI & Data Science · Corsearch, London ·

Senior/Principal/Lead Data Scientist

Head of Data & Artificial Intelligence

Head of Data & Artificial Intelligence

Strategy Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.