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

Apply Now

Senior Data Scientist

Sky
Isleworth
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist/AI Engineer (Remote)

Join to apply for the Senior Data Scientist role at Sky


7 hours ago Be among the first 25 applicants


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.


Data Science practice at Sky

Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, we are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extract value from our data assets and maximise customer value.


What you’ll do

  • Responsible for developing and driving actionable customer intelligence from our core data assets using advanced analytics
  • Develop AI & machine learning solutions exploiting our rich data assets including product holding, demographics, product usage, customer service interactions and customer metrics
  • Develop predictive models for churn prediction, lifetime value estimation, customer segmentation and other consumer-focused use cases
  • Collaborate with stakeholders to define project objectives, develop analytical frameworks, and translate business requirements into analytical solutions
  • Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions for managing customer treatments at Sky
  • Strengthen our internal data science capabilities by continuously innovating and driving new ideas, engaging in training and development of our people
  • Leading projects with 1-2 team members, planning tasks and delegating appropriately

What You’ll Bring

  • Strong experience in advanced analytics and machine learning including forecasting, predictive modelling, optimisation, clustering and modern AI techniques such as generative AI
  • Proven track record of building and deploying large-scale AI/ML solutions in cloud environments
  • Ability to quickly understand business objectives, solve complex problems and communicate insights clearly to senior stakeholders
  • Excellent programming skills in Python with experience in frameworks such as TensorFlow, PyTorch and Scikit-learn and knowledge of MLOps for production deployment
  • Hands‑on experience with key machine learning methods including regression, decision trees, ensemble models, clustering and modern deep learning (e.g. transformers, LLMs)
  • Familiarity with state‑of‑the‑art approaches like generative AI, reinforcement learning and advanced feature engineering for real‑world applications

The rewards

  • 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.


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.


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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.