Senior Data Scientist; GenAI

Job Description

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

We’re on a mission to make Sky smarter, faster, and more customer‑centric by harnessing the power of Generative AI. Sitting at the heart of Sky’s innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next‑gen AI solutions that power everything from customer agent knowledge to conversational AI.

You’ll work alongside engineers, product, and domain experts to shape the way Sky uses Data Science and Large Language Models to unlock real value across the business.

• Translate complex business challenges into structured Data Science problems, defining hypotheses, solution approaches and measurable success metrics.
• Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation.
• Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing.
• Leverage Sky’s rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks.
• Collaborate across engineering, product, and commercial teams to take AI‑driven solutions from ideation through deployment.
• Partner with stakeholders to ensure robust, compliant, and performant AI solutions.
• Strengthen our internal data science capabilities by continuously driving experimentation, innovation, and continuous learning.

• Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience.
• Hands‑on experience developing solutions with Large Language Models in enterprise environments.
• Experience designing evaluation frameworks for generative systems (e.g., LLM‑as‑a‑judge, task‑specific metrics).
• Expertise in applied ML, with hands‑on experience building models using Python and relevant libraries and frameworks (e.g., scikit‑learn, XGBoost, PyTorch).
• Experience with vector databases, data querying languages and retrieval methods.
• A commercial mindset, you understand how data science drives value, not just insight.
• Strong communication skills; able to frame complex problems in business terms.

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Our Osterley Campus is a 10‑minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

Inventive, forward‑thinking minds come together to work in Tech, Product and Data ’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.