Package Description

Job Reference:19739
Band:D
Salary:up to £68,500 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Contract type:Fixed Term Contract: 12 months (parental leave cover)
Location:London, Glasgow, Salford or Newcastle. 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 the . 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 AI and data science as fundamental on that journey. We use these technologies 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 Senior Data Scientist to join the Content Publishing Data Science team as a 12-month fixed term contract parental leave cover position. The successful candidate will help to provide technical leadership to this team across several exciting projects, working with editorial colleagues to build AI for content production.

We are a friendly and supportive team, and we love that we get to work on interesting and important problems that have a real impact on the audience's experience and the future of the BBC.

Interview Process

2 interviews: 
- Hiring manager screening call covering motivations for applying
- 1.5 hour technical presentation and behavioural interview covering relevant competencies for the role

Main Responsibilities

As a Senior Data Scientist, you will work hands-on to deliver value to BBC audiences by developing machine learning products at scale. We are looking for individuals who combine a breadth of knowledge with deep specialism in one or two areas. 

 
You will be a senior contributor in a highly cross-functional team, working to build machine learning products end to end. Recent projects include:
• Fine-tuning and deploying open-source large language models on use cases that assist journalists and build audience engagement.
• Developing and deploying ML models to generate article metadata and improve the workflows of hundreds of journalists worldwide.
• Working with news editors to develop ML solutions that improve content discoverability for BBC front pages.

Senior Data Scientists at the BBC are expected to have an impact both within their immediate team and across the wider BBC data science community: setting technical best practice, mentoring junior colleagues and shaping culture and ways of working.

Are you the right candidate

Essential criteria: 
• Extensive hands-on experience in data science and machine learning. 
• Strong coding skills, ideally in Python.
• Proven track record contributing to or leading on 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: 
• Working with large language models.
• Cloud services, ideally AWS.
• MLOps, e.g. model deployment, versioning and monitoring.
• Software engineering best practices such as testing and code management and deployment.
• Delivering ML projects end-to-end and working with engineers to put models into production.
• Mentorship of more junior colleagues.

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

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 of 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.