At a Glance
- Tasks: Transform complex business challenges into innovative AI solutions and collaborate with diverse teams.
- Company: Sky, a leader in tech innovation and customer-centric solutions.
- Benefits: Exciting perks like discounted Sky services, hybrid working, and a vibrant office environment.
- Why this job: Join a mission to revolutionise AI and make a real impact on millions of customers.
- Qualifications: Advanced degree in a quantitative field and hands-on experience with Large Language Models.
- Other info: Inclusive culture with opportunities for continuous learning and career growth.
The predicted salary is between 60000 - 80000 £ per year.
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.
Group AI 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.
What you’ll do
- 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.
What you’ll bring
- 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.
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
- 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.
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.
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.
There’s more to our work than work. We’ve built an inclusive culture where we can learn from each other and innovate together. There’s plenty of opportunities for you to explore what you’re passionate about.
Senior Data Scientist (GenAI) employer: Sky UK
Contact Detail:
Sky UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (GenAI)
✨Tip Number 1
Network like a pro! Reach out to current employees at Sky on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the GenAI team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Large Language Models and how you've applied them in real-world scenarios. Practice explaining complex concepts in simple terms, just like you'd do with stakeholders.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to tackle hypothetical scenarios during interviews. Think about how you would approach translating business challenges into data science problems, and be prepared to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Sky family. Let’s make it happen together!
We think you need these skills to ace Senior Data Scientist (GenAI)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for Generative AI shine through! We want to see how you can translate complex challenges into innovative solutions. Share specific examples of your past work that highlight your skills and passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your hands-on experience with Large Language Models and any relevant projects you've worked on. We love seeing how your background aligns with our mission at Sky!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate candidates who can frame complex problems in business terms, so don’t hesitate to showcase that ability!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Sky.
How to prepare for a job interview at Sky UK
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Frame Your Experience in Business Terms
Since Sky values a commercial mindset, practice explaining your data science projects in terms of business impact. Think about how your work has driven value or solved real-world problems. This will help you connect with the interviewers and demonstrate your understanding of the bigger picture.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around Python, machine learning frameworks, and evaluation metrics. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common data science interview questions can give you a leg up.
✨Showcase Your Collaboration Skills
Collaboration is key at Sky, so be ready to share examples of how you've worked with cross-functional teams. Highlight any experiences where you partnered with engineers or product managers to bring AI solutions to life. This will demonstrate your ability to work well in a team-oriented environment.