Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe’s leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work.
What You’ll Do
* Partner with fellow data scientists to identify opportunities where ML/AI can drive better insights and decision‑making.
* Perform in-depth analysis of complex, large-scale datasets using statistical and modelling techniques to generate insights.
* Build, test, and refine machine learning models using Python, advanced ML libraries, and cloud platforms (GCP).
* Optimise models for predictive accuracy and performance, ensuring suitability for product integration and evaluation against key metrics.
* Stay current with the latest advancements in data science and AI to identify new applications.
* Communicate technical concepts, methodologies, results, and predictions clearly to senior leadership and non‑technical stakeholders.
* Maintain reproducible model‑building workflows, document experimental designs, and track model lineage and performance.
What You’ll Bring
* Proven experience building ML models, preferably NLP and computer vision.
* Expert in Python, SQL, and common data science libraries (Pandas, Scikit‑Learn, TensorFlow, etc).
* Experience with communication network data, particularly working with CDN logs data.
* Strong statistics, algorithms, and data modelling knowledge.
* Ability to derive actionable insights from analysis.
* Excellent communication skills, analytical mindset, ethics and bias awareness.
Team Overview
Sky's Group Anti‑Piracy team’s purpose is to make our great content unavailable to pirates and to make pirated content unattractive to consumers. We prevent the theft of Sky's content by ensuring our platforms, like Sky Q, are secure and deploying cutting‑edge technology, intelligence, and investigations to stay one step ahead. We enforce the law and work with our partners, such as big tech and social media platforms, to ensure they understand the threat and take action.
The Rewards
There's one thing people can't stop talking about when it comes to : 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
How You'll Work
We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We’ve adopted a hybrid working approach to give more flexibility on where and how we work.
Osterley
Your office base:
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.
Inclusion
At Sky we don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has a life outside work, so we’re happy to discuss flexible working. We are a Disability Confident Accredited 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.
Why wait?
Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you.
Just so you know
A job you love to talk about.
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.
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