Senior Data Scientist

Data science is at the heart of decision making in Sky and drives many decisions across marketing, customer interactions and customer services at Sky.

We are scaling up our data science practice to transform how we handle customers across all life cycles for both experience profitability. We have built and optimally deployed intelligence into Sky and are already delivering realisable value into the business. We capture 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 improve customer value.

What you'll do

• Responsible for developing and driving concrete customer intelligence from our core data assets using sophisticated analytics

• Develop sophisticated analytics algorithms exploiting our rich data assets including viewing behaviours and content engagement on multiple platforms (linear, on demand, streaming etc), online engagement with Sky digital (apps, website), customer service interactions, service quality and performance information and customer metrics

• Engage with key partners (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of sophisticated analytics approaches

• Supplying to 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

• Engage with our technology teams and data engineers to build compliant, efficient, and scalable solutions for leading customer treatments at Sky

• Strengthen our internal data science capabilities by continuously innovating and driving new insights, engaging in training and development of our people

• Leading projects with 1-2 team members, planning tasks and delegating appropriately

What you'll bring

• Expertise in at least two advanced analytical areas including, but not limited to Predictive Modelling, Optimisation, Unsupervised Learning and NLP

• Experience building and deploying advanced analytics solutions at a large scale (preferably B2C) cloud environment

• Ability to quickly understand a business objective, problem solving to build an analytical solution and partner communication are critical

• Commercial knowledge and applications of data science to drive commercial value is a must – everything we do drives value into the business

• Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is desirable

• Experience in data engineering, data modelling for advanced analytics, data processing on cloud, model management and app deployment on cloud is desirable

• Programming for modelling and/or data analysis, ideally Python (crucial)

• Experience with Machine Learning libraries such as scikit-learn, XGBoost, Keras, Tensorflow etc. (crucial)

• Experience using SQL for data extraction, feature development etc. (crucial)

• Experience creating machine learning pipelines including raw data, features, model building and testing (crucial)

• Experience on Google Cloud Platform e.g. BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable)

• Experience deploying machine learning pipelines for real-world applications (useful)

• Experience with big data solutions e.g. Spark, Hadoop, MapReduce (useful)

• Other programming experience e.g. SAS, C++, JavaScript (useful)

• Machine learning – Supervised/unsupervised learning, regression, neural networks, decision trees, random forests, boosting, SVM, clustering (crucial)

• Deep learning – CNN, RCNN, LSTM, Autoencoder (desirable)

• NLP/Text mining – Bag of Words, text embedding, sentiment analysis (desirable)

• Statistical modelling– GLM, Bayesian hierarchical models (useful)

Team overview: Group Data Hub

Want to unlock the power of data? Our Group Data Hub works with millions of data transformations every day to deliver value, improve customer experience and enable new product launches. From architecture to analytics and engineering to science: it’s how we bring customers more of what they love.

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

Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting daring targets for representation at Sky.

We’ve adopted hybrid working and split our time between outstanding 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 are 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.