Senior Data Scientist

Senior Data Scientist Job Specification

Join us to rethink how sports are experienced. Backed by our AI-driven platform, we are building live sports experiences to be more immersive and personalised across devices. 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 prototyped, tested, and refined. If you enjoy iterative work, experimenting with new techniques, and solving open‑ended problems, you’ll fit right in.

The Senior Data Scientist will develop and implement data‑driven solutions to deliver new, innovative sports‑focused products for a large audience of sports fans. You will identify trends in large datasets and build models to predict future outcomes. You will collaborate with stakeholders across the organisation to communicate insights and ensure effective implementation.

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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 to understand needs and translate data insights into solutions.
  
• 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 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, monitoring, retraining strategies, and automated testing.
  
• Mentor and guide junior data scientists and engineers on productionising machine learning.
  

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• Collaborative mindset with ability to work across disciplines.
  
• Understanding of large language and multi‑modal models.
  
• Strong experience in Python, Docker, and cloud environments (ideally AWS).
  
• Background in data analysis and machine learning with proven end‑to‑end ML experience (ideally 3+ years).
  
• 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
  
• A wide range of Sky VIP rewards and experiences
  

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

We’ve embraced hybrid working and split time between office spaces and remote work. You’ll learn more about hybrid arrangements during recruitment.

Osterley: Our Osterley Campus is a short walk from Syon Lane and accessible by shuttle buses from nearby stations. We offer on‑site amenities including restaurants, cafes, a gym, cinema, and more.

If your application is successful, you’ll be asked to complete a criminal record check. Depending on role and any convictions, an offer may be withdrawn.

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• Seniority level: Mid‑Senior level
  
• Employment type: Full‑time
  
• Job function: Engineering and Information Technology
  
• Industries: Technology, Information and Internet