About Sky

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. If not, this may not be the right fit - and that\'s okay too.

What You\'ll Do

The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver new innovative sports-focused 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.

Responsibilities

• 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 data-driven solutions.
• Own the full lifecycle of ML solutions – designing, deploying, and maintaining models in production environments.
• Monitor performance of existing models and adjust parameters for optimal results.
• Stay up-to-date on industry trends related to data science technologies and best practices.
• 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 productionising machine learning.

What you\'ll bring

• A strong collaborative mindset, with the ability to work across disciplines and contribute creatively
• Understanding of large language and multi-modal models
• 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+ years) 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

• Sky Q, for the TV you love all in one place
• Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• Sky VIP rewards and experiences

Inclusion & how you\'ll work

We are a Disability Confident Employer, and welcome 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 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.

Your office space

Osterley – Our Osterley Campus is a 10-minute walk from Syon Lane train station. There are free shuttle buses to nearby stations, bike shelters and showers; 13 subsidised restaurants, cafes, and a Waitrose on campus; a subsidised gym; cinema, car wash and a 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 to explore what if, how far, and what next. We embrace differences and contribute to a sustainable future for our business and the planet. If you believe in better, we\'ll back you all the way.

Note: If your application is successful, we may ask you to complete a criminal record check. Depending on the role, we may withdraw the offer based on the nature of any convictions.