Data Scientist

Data Scientist

Data & Analytics

Permanent - Full Time

Location: London, GB, W1A 1AA; Salford, GB, M50 2QH; Newcastle-upon-Tyne, GB, NE991RN; Glasgow, GB, G511DA

Job Closing Date: 29/04/2025

THE ROLE

Job Reference: 22082
Band: Band C
Salary: £38,000 - £48,000 dependent on skills, knowledge and experience.
Contract type: Permanent role
Location: Office Base can be London / Glasgow / Newcastle / Salford. This is a hybrid role and the successful candidate will balance office working with home working.

Closing date for applications: Tuesday 29th April 2025 at 23:59

We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application.

Excellent career progression – the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.

Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.

Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.

At the BBC we see data science as fundamental on that journey. We use data and machine learning to enrich our content and power personalised experiences for millions of audience members. We’re looking for a Data Scientist to join the Account & Identity team and help accelerate the value unlocked by our existing machine learning products as well as help the discipline grow into new opportunities in areas such as sign-in, verification and user engagement & lifecycle.

Main Responsibilities

The role of Data Scientist at the BBC is hands-on; you’ll use your technical skills to deliver value to BBC audiences. We are looking for individuals who value both breadth and depth of knowledge.

Data Scientists at the BBC are instrumental in developing machine learning products at BBC scale. You will do so as part of a highly cross-functional team, working together to overcome the challenges of delivering machine learning in production.

You’ll bring experience of being an effective team contributor, and make use of your knowledge of different machine learning algorithms to solve commercial data science problems relating to BBC products.

Are you the right candidate?

Technical skills and analytical thinking:

• A good understanding of data science and machine learning techniques
• Some knowledge of data science best practices
• An awareness of cloud services, and their utility within data science (we use AWS)
• Good general coding skills, particularly in Python
• Knowledge of code management principles and deployment tools
• Experience with model lifecycle management and MLOps would be a plus, but not essential

Teamwork and stakeholder management:

• Ability to contribute effectively in a cross-functional team
• Ability to communicate clearly to both technical and non-technical audiences
• Ability to listen to others’ ideas and build on them
• Ability to prioritise, and work in a structured manner – experience of working within a delivery framework, such as agile, would be a plus
• Some experience of working with data science methods / techniques intended for production.
• Excitement about personal development and learning

About the BBC

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants.

We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us.

Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential.

We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief.

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.

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