Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist (GenAI)

Sky
City of London
6 days ago
Create job alert

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

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.