We are looking for a Senior Data Scientist to join our machine learning team working on an AI-driven platform for live sports experiences. You will help build data-driven solutions to deliver innovative sports-focused products to a large user base, identify trends in large datasets, and develop models predicting future outcomes. You will collaborate with stakeholders across the organisation to ensure insights are communicated and implemented.
What You'll Do
The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to deliver new innovative sports-focused products to our significant customer base of sports fans. They will be able to identify trends in large datasets and develop models that can predict future outcomes. Additionally, they must be comfortable working with stakeholders across the Organisation to ensure their insights are effectively communicated and implemented.
Responsibilities
* Develops 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 develop data-driven solutions.
* Own the full lifecycle of ML solutions – design, deploy, and maintain models in production environments.
* Monitor performance of existing models and adjust parameters for optimal results.
* Stay up-to-date on industry trends related to data science and best practices.
* 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 best practices for productionising ML.
What you\'ll bring
* A strong collaborative mindset, with the ability to work across disciplines.
* Good understanding of large language and multi-modal models.
* Experience in Python, Docker and cloud-based environments (ideally AWS).
* A strong background in data analysis and machine learning with proven experience in architecting and building end-to-end ML systems.
* AWS Machine Learning Certification desirable.
* Experience using Infrastructure-as-Code to deploy ML solutions on AWS.
The rewards
Perks include:
* Sky Q for the TV you love in one place
* Sky Glass at an exclusive rate
* 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 for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We have embraced hybrid working and split time between unique office spaces and remote work. More details on hybrid working will be shared later in the process.
Your office space
Osterley – 10-minute walk from Syon Lane station with free shuttle buses to nearby stations. On campus you’ll find facilities including dining, gym, cinema, and more.
We\'d love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It\'s a place to explore what if, how far, and what next. We embrace differences, support our community, and contribute to a sustainable future. 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 convictions, an offer may be withdrawn.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Technology, Information and Internet
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