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:

• Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience.
• Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems.
• Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions
• Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky
• Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches.
• Responsible for identifying the best analytical techniques, developing the solution, creating a framework for testing the solution and measuring the incremental value to the business from the solution

What you’ll bring:

• Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP
• Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environment
• Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable
• Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholders are essential
• Commercial knowledge and applications of data science to drive commercial value is a must – everything we do drives value into the business
• Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential)
• Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential)
• Database experience, preferably SQL (essential)
• Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning
• Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential)

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.