Senior Data Scientist - GenAI in Eccles

Senior Data Scientist - GenAI in Eccles

Eccles Full-Time 60000 - 70000 € / year (est.) No home office possible
BBC Group and Public Services

At a Glance

  • Tasks: Join the BBC to leverage AI tools and solve real business challenges.
  • Company: Be part of the iconic BBC, known for innovation and creativity.
  • Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams in a supportive and inclusive environment.
  • Why this job: Make a tangible impact in the exciting field of Generative AI.
  • Qualifications: Experience in data science and strong analytical skills are essential.

The predicted salary is between 60000 - 70000 € per year.

CONTRACT TYPE: Permanent, Full-time

DEPARTMENT: BBC Group Strategy and Transformation

LOCATION: Salford

PROPOSED SALARY RANGE: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

PURPOSE OF THE ROLE

The Senior Data Scientist will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently. The role is in the BBC’s Generative AI Programme and will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams. The Senior Data Scientist will help evaluate emerging AI tools, assess whether domain data is fit for purpose, design and pilot solutions to clearly defined problems, and build the testing methods that show what works and where the limits are; working in ways that are responsible, evidence‑led and aligned with the BBC's values.

YOUR KEY RESPONSIBILITIES AND IMPACT

  • Support the evaluation of new AI tooling, including agentic tooling, helping to assess performance, reliability and practical value in BBC use cases.
  • Design and develop approaches, pilots and solutions that address clearly defined domain problems using generative AI, agentic and automation techniques.
  • Build evaluation methods and testing approaches that help BBC teams understand the efficacy, limitations and risks of emerging tools and solutions.
  • Work closely with domain experts, data engineers, analysts, researchers, designers and delivery colleagues to translate requirements into practical, well‑evidenced data solutions.
  • Contribute to the development of high‑quality, secure and resilient data science assets that support delivery of pilots as well as more scalable implementation where appropriate.
  • Present findings, trade‑offs and recommendations clearly to a range of stakeholders, helping to inform decisions on tool adoption and solution design.
  • Ensure work is delivered in line with the BBC’s organisational values, security requirements and responsible approach to AI innovation.

YOUR SKILLS AND EXPERIENCE

  • Experience of developing and applying data science or GenAI approaches to practical business, operational or user problems, working collaboratively in multidisciplinary teams and with the discipline to produce reliable, well‑tested code.
  • Strong analytical capability, including experience of evaluating models, tools or experiments and drawing clear, evidence‑based conclusions.
  • Ability to communicate findings, limitations and trade‑offs clearly to both technical and non‑technical stakeholders.
  • Good judgement in applying data science methods responsibly, with an understanding of quality, governance, security and ethical considerations.
  • Strong engineering practices including writing clean, well‑tested and maintainable code, proficiency in Python, CI/CD pipelines, and demonstrable use of AI‑assisted development tools to improve code quality and delivery pace.
  • Experience working in broadcast, media, start‑up or research environments.
  • A strong academic background or research credentials in data science, machine learning or a related discipline.
  • Experience building with Generative AI frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure).
  • Familiarity with agentic orchestration patterns, including multi‑agent architectures, tool/function calling, and memory or retrieval augmentation.
  • Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large organisations.

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.

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. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment 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.

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.

Disability confident

We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we’d be happy to discuss: reasonable.adjustments@bbc.co.uk

Diversity, inclusion & belonging strategy

We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio‑economic background, religion and/or belief.

Company information

BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: 01420028, registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.

Senior Data Scientist - GenAI in Eccles employer: BBC Group and Public Services

The BBC is an exceptional employer, offering a dynamic work environment in Salford where innovation meets collaboration. As part of the Generative AI Programme, you'll have the opportunity to work with cutting-edge technology while contributing to meaningful projects that impact millions. With a strong commitment to diversity, employee growth, and a culture that values every individual's contribution, the BBC fosters a supportive atmosphere for all its staff.

BBC Group and Public Services

Contact Detail:

BBC Group and Public Services Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist - GenAI in Eccles

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already at the BBC. A friendly chat can open doors and give you insider info on what they're really looking for.

Tip Number 2

Show off your skills in action! If you’ve got projects or case studies that highlight your experience with GenAI, bring them to the table. A portfolio can speak volumes about your capabilities.

Tip Number 3

Prepare for the interview by diving deep into the BBC’s values and recent projects. Tailor your responses to show how your experience aligns with their mission and how you can contribute to their Generative AI Programme.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Senior Data Scientist - GenAI in Eccles

Data Science
Generative AI
Python
CI/CD Pipelines
AI-assisted Development Tools
Model Evaluation
Analytical Capability

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with generative AI and data science, and show how your skills align with the BBC's needs.

Showcase Your Projects:Include specific examples of projects where you've applied data science or GenAI techniques. This will help us see your practical experience and how you tackle real-world problems.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your findings and recommendations, making it easy for both technical and non-technical folks to understand.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role in a timely manner.

How to prepare for a job interview at BBC Group and Public Services

Know Your AI Tools

Familiarise yourself with the latest generative AI tools and frameworks mentioned in the job description, like LangChain and Azure. Be ready to discuss how you've used these tools in past projects and their practical applications in solving business problems.

Showcase Your Collaboration Skills

Since this role involves working closely with multidisciplinary teams, prepare examples that highlight your experience collaborating with data engineers, analysts, and domain experts. Emphasise how you’ve translated complex requirements into actionable data solutions.

Communicate Clearly

Practice explaining technical concepts in simple terms. You’ll need to present findings to both technical and non-technical stakeholders, so being able to articulate your ideas clearly will set you apart. Use examples from your experience to illustrate your points.

Demonstrate Ethical Judgement

Be prepared to discuss how you approach ethical considerations in AI and data science. Share your understanding of quality, governance, and security, and provide examples of how you've applied responsible practices in your previous work.