Overview
Senior Data Scientist Job Specification
We believe in better. And we make it happen. Sky is building the next generation of live sports experiences with an AI-driven platform.
Join us to rethink how sports are experienced. Backed by our 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, and 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 prototyped, tested, and refined. This space rewards creativity, flexibility, and a hands-on approach. If you enjoy working iteratively and solving open-ended problems, you\'ll feel at home.
What You\'ll Do
The Senior Data Scientist will develop and implement data-driven solutions to deliver new innovative sports-focused products to a large audience of sports fans. They will identify trends in large datasets, develop models that predict future outcomes, and collaborate with stakeholders across the organisation to ensure insights are communicated and implemented.
Responsibilities
* Develop predictive models using advanced statistical techniques (e.g., regression, classification, clustering).
* Analyse large datasets to uncover patterns and relationships between variables.
* Collaborate with stakeholders to understand needs and develop data-driven solutions.
* Own the full lifecycle of ML solutions: design, deployment, and maintenance in production.
* 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 junior data scientists and engineers on best practices for productionising machine learning.
What You\'ll Bring
* 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 cloud-based environments (ideally AWS).
* Strong background in data analysis and machine learning, with proven end-to-end ML systems experience (3+ years preferred).
* AWS Machine Learning Certification desirable.
* Experience using Infrastructure-as-Code to deploy ML solutions on AWS.
The Rewards
* Sky Q and Sky Glass perks
* 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 ensure a fair and consistent experience and will 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. More details about hybrid working will be provided later in the recruitment process.
Your Office Space
Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane station. Free shuttle buses run to Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. Bike shelters and showers are available. On campus you\'ll find 13 subsidised restaurants, cafes, and a Waitrose. You can use our subsidised gym, cinema, car wash, and beauty salon.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Technology, Information and Internet
We\'d love to hear from you. If your application is successful, you may be asked to complete a criminal record check; depending on role and convictions, an offer may be withdrawn.
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