Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

BBC Group and Public Services
Manchester
1 week ago
Create job alert
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.



#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.