Senior Data Scientist
We are looking for a Senior Data Scientist to work within a specialised machine learning team to build cutting-edge capabilities of an AI-driven sports platform. This role is in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. If you enjoy working iteratively, experimenting with new techniques, and solving open-ended problems, you’ll feel right at home.
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 identify trends in large datasets and develop models that can predict future outcomes. They must be comfortable working 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 data-driven solutions.
* Own the full lifecycle of ML solutions — design, deploy, and maintain 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.
* 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
* A strong collaborative mindset, with the ability to work across disciplines and contribute creatively
* Good understanding of large language and multi-modal models
* 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 building end-to-end ML systems for industry problems (ideally 3+ years)
* 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
* The magic of 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 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've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later in the recruitment process.
Your office space
Osterley
Our Osterley Campus is a 10-minute walk from Syon Lane train station. You can also use free shuttle buses to Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are bike shelters and showers on site. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, watch the latest shows and movies at our cinema, get your car washed, and enjoy our beauty services.
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's next. We embrace differences, support our community, and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.
Just so you know: if your application is successful, we'll ask you to complete a criminal record check. Depending on the role and any relevant convictions, we may withdraw the offer.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
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