Negotiable
Overview
We are building an AI-driven platform for immersive, personalised live sports experiences. As a Senior Data Scientist, you’ll work within a specialised machine learning team to build cutting-edge capabilities of the platform, turning big ideas into products, content and services for sports fans.We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. This role suits someone who enjoys iterative work, experimentation with new techniques, and solving open-ended problems.What You''ll Do
The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver innovative sports-focused products to a large customer base. You will identify trends in large datasets, develop models to predict future outcomes, and communicate insights effectively with stakeholders across the organisation.Responsibilities
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 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 data science 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 pipelines, monitoring, retraining strategies, and automated testing.Mentor and guide junior data scientists and engineers on productionising machine learning.What You''ll Bring
Strong collaborative mindset with the ability to work across disciplines and contribute creativelyUnderstanding of large language and multi-modal modelsExperience in Python, Docker and cloud-based environments (ideally AWS)Strong background in data analysis and machine learning with proven end-to-end ML experience (ideally 3+ years)AWS Machine Learning Certification desirableExperience using Infrastructure-as-Code to deploy ML solutions on AWSThe Rewards
Sky Q and Sky Glass perksGenerous pension packagePrivate healthcareDiscounted mobile and broadbandSky VIP rewards and experiencesInclusion and How You''ll Work
We are a Disability Confident Employer and welcome applications from all candidates. We will provide reasonable adjustments to support you where appropriate – please flag any adjustments to your recruiter early. We have embraced hybrid working and will share more about what this looks like for your role during the recruitment process.Your office space
Osterley Campus is a 10-minute walk from Syon Lane station with free shuttle buses to nearby stations. Facilities include bike shelters, showers, subsidised restaurants, cafes, a Waitrose, a subsidised gym, cinema, car wash, and beauty services.We''d love to hear from you
Join inventive, forward-thinking minds in Tech, Product and Data at Sky to explore what if, how far, and what next. We value diversity and support 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, you may be asked to complete a criminal record check. Depending on the role and any convictions, an offer may be ..... full job details .....
Negotiable