Overview
As a Senior Data Scientist, you will work within a specialised machine learning team to build cutting-edge capabilities of an AI-driven platform for live sports experiences. You will develop data-driven solutions to deliver innovative sports-focused products to a large customer base of sports fans. The role requires identifying trends in large datasets, building predictive models, and communicating insights effectively with stakeholders across the organisation.
What You'll Do
* Develop predictive models using advanced statistical techniques such as regression, classification, and clustering.
* Analyze large datasets to uncover patterns and relationships between variables.
* Collaborate with stakeholders across the organisation to understand needs and translate data analysis results 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 recommend new approaches as needed.
* 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 best practices for productionising machine learning.
What you'll bring
* Strong collaborative mindset with ability to work across disciplines.
* Good understanding of large language and multi-modal models.
* Experience in Python, Docker, and cloud-based environments (ideally AWS).
* Solid 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.
The rewards
* Sky Q and Sky Glass perks
* A 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 provide reasonable adjustments to support you where appropriate. We have embraced hybrid working and split time between office spaces and working from home. Details on hybrid arrangements will be provided during recruitment.
Your office space
Osterley Campus – a 10-minute walk from Syon Lane train station with free shuttle buses to nearby stations. On campus you’ll find restaurants, cafes, a Waitrose, and amenities such as a gym and cinema.
We’d love to hear from you. Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. If you believe in better, we’ll back you all the way.
Note: If your application is successful, you will be asked to complete a criminal record check. Depending on role and convictions, an offer may be withdrawn.
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