Senior Data Scientist

We are looking for a Senior Data Scientist to join a specialised machine learning team building the AI-driven platform for immersive, personalised live sports experiences. The role involves creating data-driven solutions, identifying trends in large datasets, and communicating insights to stakeholders across the organisation.

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• Develop and implement data-driven solutions to deliver innovative sports-focused products for a large customer base of sports fans.
  
• Identify trends in large datasets and develop models to predict future outcomes.
  
• Collaborate with stakeholders across the organisation to communicate insights and ensure implementation of data-driven recommendations.
  
• Own the full lifecycle of ML solutions – design, deployment, and maintenance in production environments.
  
• Monitor model performance over time and adjust parameters for optimal results.
  
• Stay up-to-date on industry trends in data science and best practices to recommend new approaches.
  
• 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 and contribute creatively.
  
• Understanding of large language and multi-modal models.
  
• Good experience in Python, Docker, and developing in a cloud-based environment (ideally AWS).
  
• 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.
  

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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 make reasonable adjustments to support you where appropriate. Hybrid working is available, with time split between office spaces and working from home.

Osterley Campus is a short walk from Syon Lane train station. Free shuttle buses connect to nearby stations. Facilities include bike shelters, showers, multiple restaurants, cafes, a Waitrose, and a subsidised gym and cinema.

We’d love to hear from you. If your application is successful, you may be asked to complete a criminal record check, and the offer may be withdrawn based on the nature of any convictions.