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 can
