Senior Data Scientist (GenAI)

Sky; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading media company in the UK is looking for a specialist in Generative AI to enhance customer value through advanced data science solutions. The role requires collaboration across teams and expertise in machine learning and large language models. Ideal candidates should have an advanced degree and experience in applied ML with Python, along with strong communication skills. The position offers a hybrid work environment and various perks, including private healthcare and a generous pension package.

Benefits

Private healthcare

Generous pension package

Discounted mobile and broadband

Wide range of Sky VIP rewards and experiences

Qualifications

• M Sc or PhD in Statistics, Data Science, Machine Learning, or related fields needed.
• Experience in building ML models with Python essential.
• Familiarity with NLP and enterprise environments is important.

Responsibilities

• Collaborate across teams to design AI-driven solutions.
• Apply Generative AI models for various applications.
• Translate business challenges into data science solutions.

Skills

Applied ML expertise

Hands-on experience with Python

Experience with Large Language Models

Cloud platform familiarity

Strong communication skills

Education

Advanced degree (M Sc or PhD) in relevant field

Tools

Python libraries (e.g., scikit-learn, TensorFlow)

SQL

Cloud platforms (AWS, Azure, GCP)

Job description

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Group AI at Sky

We are 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.

What you’ll do

• Collaborate across engineering, product, and commercial teams to design and build AI‑driven solutions from ideation through deployment.
• Apply Generative AI models for applications such as knowledge retrieval, chatbots, summarisation and automated content creation.
• Contribute best practices in GenAI model development and integration, from designing LLMs evaluation benchmarks to deploying scalable cloud native pipelines.
• Partner with stakeholders to ensure robust, compliant and performant AI solutions.
• Translate business challenges into data science solutions, ensuring transparency and knowledge sharing along the way.
• Contribute to the evolution of Sky’s modular AI capabilities within the broader Sky AI ecosystem.
• Strengthen our internal data science capabilities by continuously driving experimentation and innovation.

What you’ll bring

• Advanced degree (M Sc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience.
• Expertise in applied ML, with hands‑on experience building models using Python and relevant libraries and frameworks (e.g., scikit‑learn, XGBoost, TensorFlow or PyTorch).
• Experience developing solutions with Large Language Models and NLP in enterprise environments.
• Experience with vector databases and data querying languages (e.g., SQL).
• Familiarity with cloud platforms (AWS, Azure or GCP), including data pipelines, model deployment, and monitoring.
• A commercial mindset, you understand how data science drives value, not just insight.
• Strong communication skills with both technical and non‑technical stakeholders; able to frame complex problems in business terms.

The rewards

There’s one thing people can’t stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

• 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

Inclusion & how you’ll work

We are a Disability Confident Employer, and we 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.

Your office space

Osterley

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.

Livingston Watermark House

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.

We’d love to hear from you

Inventive, forward‑thinking minds come together to work in Tech, Product and Data at Sky. It’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.