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Principal Data Scientist - Generative AI, Salford
Client: BBC
Location: Salford, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: 6a50ad5c918c
Job Views: 7
Posted: 22.02.2025
Expiry Date: 08.04.2025
Job Description:
Package Description
Job Reference: 21112
Band: D
Salary: up to £87,000 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: Office base can be either London (W1A), Salford, Glasgow 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.
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.
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 Principal Data Scientist to join the Content Publishing Data Science team in Product Group. The successful candidate will be a technical leader in a highly cross-functional team of data scientists, engineers, product managers and UX designers, working to build AI products from research to impactful production systems.
Interview Process
2 Interviews:
• 30-minute hiring manager interview covering your motivations for applying, expectations about the role and your background and skills.
• 1.5-hour technical presentation and behavioural interview covering relevant competencies for the role.
Main Responsibilities
As a Principal Data Scientist, you will deliver value to BBC audiences by developing machine learning products at scale. You will do hands-on coding work to develop, deploy and iterate on generative AI systems, lead architecture design, implement ideas from recent research papers, do code reviews and set best practice.
The successful candidate will also have strong interpersonal skills to lead projects involving several different teams and to effectively engage with editorial stakeholders.
Are you the right candidate?
Essential criteria:
• Extensive hands-on experience in data science and machine learning.
• Strong coding skills, particularly in Python.
• Expertise in large language models/generative AI.
• Proven track record leading projects to deliver value in production.
• Ability to clearly communicate to both technical and non-technical audiences.
• Ability to work effectively in a cross-functional team.
Desirable experience:
• Good knowledge of cloud services, ideally AWS.
• Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring.
• Good knowledge of code management and deployment best practices.
• Ability to mentor and support other team members.
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. 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.
Diversity matters at the BBC. We have a working environment where we value and respect every individuals 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. 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.
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