Data Scientist

JOB DETAILS

JOB BAND: C

CONTRACT TYPE: Permanent, Full-time

DEPARTMENT: BBC Product Group, Discoverability (Search)

LOCATION: London / Newcastle / Salford / Glasgow – hybrid model with an expectation to attend your office base location 1 day a week on average.

SALARY RANGE: £38000 - £48000 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.

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 Data Scientist to join the Product Group.

As Data Scientist you’ll play a hands-on role in building machine learning products at BBC scale. Working as part of a highly cross-functional 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.

• You’ll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise.
• You’ll work as part of a cross-functional team, collaborating to deliver value with ML in production.
• You’ll develop an understanding of data science best practice, including model lifecycle management and MLOps.
• You’ll join the wider BBC Data Science community, with internal and external opportunities to get involved.
• You’ll be enthusiastic about sharing your knowledge and growing those around you.

YOUR SKILLS AND EXPERIENCE

• An understanding of data science and machine learning techniques.
• Good general programming skills, particularly in Python.
• The ability to contribute effectively in a cross-functional team, including the ability to prioritise and work in a structured manner.
• Ability to clearly communicate to both technical and non-technical audiences.
• The ability to listen to others’ ideas and build on them.

• Some working knowledge of data science best practice.
• Excited about personal development and learning with a desire to develop deep subject matter expertise.
• Excited about working in a team where data science support is new, where colleagues may have varying levels of understanding of the discipline.
• Experience putting data science models ‘in production’, including an awareness of cloud services, and their utility within data science.

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.

This 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.

Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory.

For any general queries, please contact:

Redeployment

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC 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.