Senior Data Scientist (GenAI)
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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.
- 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.
Benefits & conditions
- 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 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.
Osterley
Your office space:
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.
or
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.