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Senior Data Scientist - NLP AI Research

BBC Studios Ltd

Greater London

Hybrid

GBP 59,000 - 70,000

Full time

Today
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Job summary

A leading broadcasting company is seeking a Senior Data Scientist focusing on NLP AI Research in London. This role involves innovating solutions to complex challenges in AI and journalism, collaborating with internal teams and external partners. Candidates should hold an advanced degree in a relevant field and have expertise in NLP and ML tools. The position offers a competitive salary and hybrid working options.

Qualifications

  • Master's or Ph.D. in Machine Learning, Computer Science, or related discipline.
  • Strong understanding of large language model theoretical foundations.
  • Experience with modern NLP models and frameworks.

Responsibilities

  • Solve complex problems with innovative solutions.
  • Prototype and evaluate technologies for research questions.
  • Collaborate with internal teams and external partners.

Skills

Knowledge of modern LLM theory
Hands-on experience with NLP models
Excellent Python coding abilities
Experience in designing experiments
Competence in cloud deployment

Education

Advanced Degree in Relevant Field

Tools

PyTorch
TensorFlow
Scikit-Learn
Job description

Job Title: Senior Data Scientist – NLP AI Research

Senior Data Scientist – NLP AI Research

Permanent – Full Time

Job Closing Date: 18/01/2026

THE ROLE
JOB DETAILS

JOB BAND: D

CONTRACT TYPE: Permanent, Full-time

DEPARTMENT: BBC R&D

LOCATION: London – Hybrid, Manchester – Hybrid

PROPOSED SALARY RANGE: Up to £69,700 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

We’re also 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

BBC R&D is hiring a Senior Data Scientist / Researcher to join our AI Research team, working at the forefront of AI, news and broadcasting. You’ll tackle complex, high-impact challenges – from automated fact verification and contextual language understanding to developing editorially aligned LLM – and see your work embedded in BBC News products, journalistic workflows and editorial decision-making.

You’ll join a talented, collaborative group of researchers and engineers who work closely with BBC News teams and partner with leading universities, turning novel ideas into tools for journalists and programme makers at one of the world’s most respected public service broadcasters.

WHY JOIN THE TEAM

BBC R&D’s dedicated AI Research team is a group of 25 researchers, data scientists and engineers that explores the use of AI, principally in the areas of Natural Language Processing, Large Language Model research and Computer Vision. This team collaborates closely with other Applied Research Areas within BBC R&D, as well as teams in BBC Product, Technology, News, Archive and iPlayer. We work closely in partnership with world-leading academic groups to help to drive innovation in the research space and accelerate the adoption of AI within the BBC.

YOUR KEY RESPONSIBILITIES AND IMPACT
  • Innovate and solve complex problems. Apply creative thinking and sound judgment to develop innovative solutions to technical challenges, often exploring diverse approaches.
  • Prototype and evaluate technologies. Design, build, and test prototypes to explore research questions and assess new technologies through trials, lab tests, and user feedback.
  • Drive impact through knowledge transfer. Translate research outcomes into practical solutions for the BBC or broader industry via operational systems, open-source contributions, or standards input.
  • Collaborate across and beyond the BBC. Work closely with internal teams and external partners, including universities and manufacturers, to deliver impactful results on joint projects.
  • Communicate and represent the BBC. Share findings through internal documentation, external publications, and research conferences.
YOUR SKILLS AND EXPERIENCE
ESSENTIAL CRITERIA
  • Advanced Degree in Relevant Field: Bachelor’s, Master’s, or Ph.D. in Machine Learning, Computer Science, or a closely related discipline.
  • Good knowledge of modern LLM theory: Strong understanding of the theoretical foundations of large language models, including attention mechanisms as well as training and inference techniques (e.g. PEFT, KV-cache, RoPE, etc.).
  • Expertise in NLP & ML Tools: Hands‑on experience with cutting‑edge NLP models (GPT family, Google Gemini, Claude, BERT) and proficiency in frameworks like PyTorch, TensorFlow, and Scikit‑Learn.
  • Strong Programming & Development Skills: Excellent Python coding abilities and familiarity with software engineering best practices.
  • Applied ML & Experimentation Experience: Proven track record in designing experiments, building training pipelines, and translating business needs into technical solutions.
  • Modern MLOps & Cloud Knowledge: Competence in cloud deployment, data management, and MLOps workflows including versioning and performance evaluation.
DESIRED BUT NOT REQUIRED
  • Hands‑on experience deploying systems to Azure and/or OpenStack, with a strong grasp of cloud‑native architectures and best practices.
  • Proven web application development expertise, from building responsive UIs to integrating complex backends.
  • Skilled in managing and evolving large‑scale codebases, with a focus on maintainability, scalability, and clean architecture.
  • Collaborative approach to innovation, working closely with Data Scientists, ML Engineers and researchers to translate cutting‑edge ideas into production‑ready solutions.
  • Successful academic background, participation in published documents within your area of specialism.

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.

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.

DISCLAIMER

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.

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