Overview

Join us to rethink how sports are experienced. Backed by our new AI-driven platform, we will be building live sports experiences to be more immersive, more personalised - giving fans a chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you\'ll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform.

We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. It\'s a space that rewards creativity, flexibility, and a hands-on approach. If you enjoy working iteratively, experimenting with new techniques, and solving open-ended problems, you\'ll feel right at home.

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 in the recruitment process.

What you'll do

The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver new innovative sports focussed products to our significant customer base of sports fans. They will identify trends in large datasets and develop models that can predict future outcomes. They must be comfortable working with stakeholders across the organisation to ensure insights are effectively communicated and implemented.

• Develop predictive models using advanced statistical techniques such as regression, classification, clustering, etc.
• Analyse large datasets to uncover patterns and relationships between variables.
• Collaborate with stakeholders across the organisation to understand needs and develop solutions based on data analysis results.
• Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments.
• Monitor performance of existing models over time and adjust parameters for optimal results.
• Stay up-to-date on industry trends related to data science technologies and best practices to recommend new approaches when necessary.
• Build and integrate cloud-native components to expose models as scalable endpoints and publish inference results as events for downstream systems.
• Establish and maintain robust MLOps practices, including CI/CD pipelines, monitoring, retraining strategies, and automated testing.
• Mentor and guide junior data scientists and engineers on best practices for productionising machine learning.

What you'll bring

• A strong collaborative mindset, with the ability to work across disciplines and contribute creatively
• Have a good understanding of large language and multi-modal models.
• Good experience in Python, Docker and developing in a cloud-based environment (ideally AWS)
• A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems
• AWS Machine Learning Certification desirable
• Experience using Infrastructure-as-Code to deploy ML solutions on AWS

The rewards

Here are some perks you can expect:

• 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 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.