Senior Data Scientist

Senior Data Scientist

The Senior Data Scientist will be part of a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform for immersive, personalised live sports experiences. The role operates in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined.

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

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• Develop predictive models using advanced statistical techniques (e.g., regression, classification, clustering).
  
• Analyze large datasets to uncover patterns and relationships between variables.
  
• Collaborate with stakeholders across the organisation to understand needs and develop data-based solutions.
  
• Own the full lifecycle of ML solutions—designing, deploying, and maintaining models in production.
  
• Monitor model performance over time and adjust parameters for optimal results.
  
• Stay up-to-date on industry trends 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 productionising machine learning.
  

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• Strong collaborative mindset with the ability to work across disciplines.
  
• Understanding of large language and multi-modal models.
  
• Good experience in Python, Docker and cloud-based environments (ideally AWS).
  
• Strong background in data analysis and machine learning with proven end-to-end ML experience (3+ years preferred).
  
• AWS Machine Learning Certification desirable.
  
• Experience using Infrastructure-as-Code to deploy ML solutions on AWS.
  

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

We are a Disability Confident Employer and welcome applications from all candidates. We will ensure a fair and consistent experience for all and can make reasonable adjustments as needed. Please flag any adjustments to your recruiter early in the process.

We’ve embraced hybrid working and split time between unique office spaces and working from home. Details on hybrid arrangements will be shared later in the process.

Osterley — The Osterley Campus is a short walk from Syon Lane and is served by free shuttle buses to nearby stations. On campus you’ll find multiple amenities including restaurants, cafes, a gym, cinema, and more.

Join us to rethink how sports are experienced. Backed by our AI-driven platform, we will build immersive, personalised live sports experiences across devices.

If your application is successful, you may be required to complete a criminal record check. Depending on the role and your convictions, the offer may be withdrawn.