This job is with BBC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
JOB DETAILS JOB BAND: D
CONTRACT TYPE: Permanent, Full-time
DEPARTMENT: BBC Product Group - Product Growth
LOCATION: London / Newcastle / Salford / Glasgow - Hybrid
PROPOSED SALARY RANGE: £57,000 - £67,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.
PURPOSE OF THE ROLE The BBC has been serving audiences online for decades, across key products such as BBC iPlayer. As we evolve to deliver more personalised content and experiences, Data Science is at the heart of that transformation.
As a team, we use ML / AI to enrich our content and power personalised experiences for millions of audience members. We're looking for a Senior Data Scientist to join the Product Growth team in the Product Group.
WHY JOIN THE TEAM
As Senior Data Scientist you'll play a hands-on role in building machine learning products at BBC scale. Working as part of a team, you'll help overcome the challenges of deploying ML in production.
You'll have the opportunity to get involved with the wider data science community, both at the BBC and externally. We hope you'll be enthusiastic about sharing your knowledge and growing others.
YOUR KEY RESPONSIBILITIES AND IMPACT:
• You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise.
• You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products.
• You'll bring experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production.
• You'll be responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively.
• You'll join the wider BBC Data Science community, with internal and external opportunities to get involved and share your knowledge.
YOUR SKILLS AND EXPERIENCE
ESSENTIAL CRITERIA:
• A strong understanding of data science and machine learning techniques, including best practices, recent advances and their applications for implementation in a production environment
• Good general programming skills, particularly in Python or R
• Good knowledge of code management and deployment best practices
• Good ability to contribute effectively in a cross-functional team, including the ability to prioritise and work in a structured manner
• Good ability to communicate to both technical and non-technical audiences
DESIRED BUT NOT REQUIRED:
• A proven track record of delivering value in production
• Knowledge of working with cloud services, and the main challenges involved
• Understanding and experience of experimentation within data science, e.g. A/B testing
• Experience with model lifecycle management and MLOps
• Experience mentoring other team members
If you can bring some of these skills and experience, along with transferable strengths, we'd love to hear from you and encourage you to apply. 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. 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.
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.