Principal Data Scientist

3 weeks ago


Glasgow Glasgow City, United Kingdom TN United Kingdom Full time

Principal Data Scientist - Generative AI, Glasgow


Client:

BBC


Location:

Glasgow, United Kingdom


Job Category:

Other


EU work permit required:

Yes


Job Reference:

81b1914be8a1


Job Views:

8


Posted:

22.02.2025


Expiry Date:

08.04.2025


Job Description:

Package Description

Job Reference: 21112

Band: D

Salary: up to £87,000 depending on relevant skills, knowledge and experience.

Contract type: Permanent

Location: Office base can be either London (W1A), Salford, Glasgow or Newcastle. This is a hybrid role and the successful candidate will balance office working with home working.

We’re happy to discuss flexible working. Flexible working will be part of the discussion at offer stage.


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, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.


The BBC has been serving audiences online for more than 20 years. We are making the shift from being a broadcaster that speaks to our audiences to becoming a service that is directly shaped by them. We are creating personalised content, products and services that bring the right content to the right people, at the right time.

To help drive this effort, we’re looking for a Principal Data Scientist to join the Content Publishing Data Science team in Product Group. The successful candidate will be a technical leader in a highly cross-functional team of data scientists, engineers, product managers and UX designers, focusing on large language models and generative AI technologies.

Interview Process

2 Interviews:
• 30-minute hiring manager interview covering your motivations for applying and your background and skills.
• 1.5-hour technical presentation and behavioural interview covering relevant competencies for the role.

Main Responsibilities

As a Principal Data Scientist, you will deliver value to BBC audiences by developing machine learning products at scale. You will do hands-on coding work to develop, deploy and iterate on generative AI systems, lead architecture design, implement ideas from recent research papers, do code reviews and set best practice.

The successful candidate will have strong interpersonal skills to lead projects involving several different teams and effectively engage with editorial stakeholders.

Are you the right candidate?

Essential criteria:
• Extensive hands-on experience in data science and machine learning.
• Strong coding skills, particularly in Python.
• Expertise in large language models/generative AI.
• Proven track record leading projects to deliver value in production.
• Ability to clearly communicate to both technical and non-technical audiences.
• Ability to work effectively in a cross-functional team.

Desirable experience:
• Good knowledge of cloud services, ideally AWS.
• Experience with model lifecycle management and MLOps.
• Good knowledge of code management and deployment best practices.
• Ability to mentor and support other team members.

You are encouraged to apply even if you don’t meet every one of the criteria above

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.

Diversity matters at the BBC. We have a working environment where we value and respect every individuals 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.


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