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Data Scientist

BBC Group and Public Services
Manchester
1 week ago
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JOB DETAILS

JOB BAND: C
CONTRACT TYPE: Permanent, Full‑time
DEPARTMENT: BBC Product Group, Authoring & Curation, Content Creation AI
LOCATION: London / Newcastle / Salford / Glasgow – Hybrid
SALARY RANGE: £40,000 – £50,000 (depending on skills, knowledge and experience)


PURPOSE OF THE ROLE

At the BBC, data science is fundamental to our digital‑first strategy, creating personalised content and products that deliver the right content to the right people at the right time. As a Data Scientist in the Content Creation AI team, you will work with journalists and editors to improve authoring and curation workflows, enabling them to better produce, describe and curate content that serves our audience’s needs.


WHY JOIN THE TEAM

Join a growing, cross‑functional team that collaborates with engineers, user researchers and product managers to identify and prioritise user needs in authoring and curation workflows. Build and test proof of concepts, then deploy solutions that integrate with user‑facing tools.


YOUR KEY RESPONSIBILITIES AND IMPACT

  • Use technical expertise to deliver value to internal stakeholders within authoring and curation.
  • Collaborate with engineers to develop and support AI products at scale.
  • Provide evidence to the product manager for project prioritisation and explore proof of concepts with journalists and editorial stakeholders.
  • Work closely with user researchers in discovery phases to identify opportunities for data science to improve workflow.
  • Share knowledge with the wider data science community and other disciplines, fostering enthusiasm for learning and growth.

YOUR SKILLS AND EXPERIENCE
ESSENTIAL CRITERIA

  • Knowledge of data science and machine‑learning techniques, including best practices and recent advances.
  • Awareness of cloud services and what they offer.
  • Ability to evaluate algorithms and choose the best approach for a business problem.
  • Strong coding skills in Python, including code management and deployment.
  • Effective collaboration: clear communication with technical and non‑technical audiences and ability to build on others’ ideas.

DESIRED

  • Experience using large language models (LLMs).
  • Working knowledge of cloud services and deploying models to production with model registries, CI/CD pipelines and engineering best practices.
  • Experience in a cross‑disciplinary, possibly Agile, team.

Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. Failure to disclose may result in withdrawal of your offer.


We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio‑economic background, religion, or belief. We aim to be an inclusive environment where everyone can belong, thrive and achieve their full potential.



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