Overview
Senior Data Scientist role within a fast-paced, AI-driven platform for live sports experiences. You’ll work in a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform, delivering data-driven solutions to our sports-focused products for a large customer base of sports fans.
What You'll Do
The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver innovative sports-focused products. You will identify trends in large datasets, develop models to predict future outcomes, and collaborate with stakeholders across the organisation to ensure insights are effectively communicated and implemented.
Responsibilities
* Develop predictive models using advanced statistical techniques such as regression, classification, clustering, etc.
* Analyse large datasets to uncover patterns and relationships between variables.
* Collaborate with stakeholders across the organisation to understand needs and develop solutions based on data analysis results.
* Own the full lifecycle of ML solutions – designing, deploying, and maintaining models in production environments.
* Monitor performance of existing models over time and adjust parameters for optimal results.
* Stay up-to-date on industry trends related to data science technologies and best practices to recommend new approaches when necessary.
* 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
* A strong collaborative mindset, with the ability to work across disciplines and contribute creatively.
* Good understanding of large language and multi-modal models.
* Good experience in Python, Docker and developing in a cloud-based environment (ideally AWS).
* A strong background in data analysis and machine learning, with proven experience (ideally 3+ years) architecting and building end-to-end ML systems for real-world problems.
* AWS Machine Learning Certification desirable.
* Experience using Infrastructure-as-Code to deploy ML solutions on AWS.
The Rewards
* Sky Q, for the TV you love all in one place
* Sky Glass at an exclusive rate
* A generous pension package
* Private healthcare
* Discounted mobile and broadband
* A wide range of 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 where appropriate. Please flag any adjustments you need to your recruiter early in the process.
We've embraced hybrid working and split time between unique office spaces and remote work. Further details on hybrid working will be provided during the recruitment process.
Your Office Space
Osterley – Our Osterley Campus is a short walk from Syon Lane station with free shuttle buses to nearby stations. The campus includes bike shelters, showers, and on-site amenities such as restaurants, cafes, a Waitrose, a subsidised gym, cinema, car wash, and a beauty salon.
Candidate Experience
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. 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, the offer may be withdrawn.
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