Senior Data Scientist (GenAI)

Sky
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

This job is brought to you by Jobs/Redefined, the UK's leading over‑50s age inclusive jobs board.


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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.