Principal Data Scientist - Generative AI

Bbc Uk
London
6 days ago
Create job alert

Package DescriptionJob Reference:

21112Band:

DSalary:

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:

PermanentLocation:

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. 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 candidate pack.If you need to discuss adjustments or access requirements for the interview process, please contact the . For any general queries, please contact: IntroductionThe 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 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. The team has a focus on large language models and other generative AI technologies, which the BBC is using to support content production and audience engagement.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 Process2 Interviews:

If the following job requirements and experience match your skills, please ensure you apply promptly.• 30-minute hiring manager interview covering your motivations for applying, expectations about the role and your background and skills. This interview is also for you to ask questions about the role to see if it is a good fit.• 1.5-hour technical presentation and behavioural interview covering relevant competencies for the role.Main ResponsibilitiesAs a Principal Data Scientist, you will 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 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, 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 AI community: setting technical best practice, sharing knowledge, mentoring junior colleagues and shaping culture and ways of working.Are you the right candidateEssential 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 BBCThe 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 here.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.To find out more about Diversity and Inclusion at the BBC, please click here.DISCLAIMERThis job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.WHY JOIN USPrincipal Data Scientist - Generative AIData & AnalyticsPermanent - Full Time

#J-18808-Ljbffr

Related Jobs

View all jobs

Principal/Senior Data Scientist

Principal Data Scientist, Consulting

Principal Data Scientist - Generative AI

Principal Data Scientist - Generative AI

Senior Principal Data Scientist, NLP

▷ (Immediate Start) Senior Principal Data Scientist

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

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.