Senior Data Scientist
New Today
Overview
Senior Data Scientist at Sky. We believe in better. And we make it happen. Working in Tech, Product or Data at Sky is about building the next and the new. We optimise and innovate, turning big ideas into products, content and services loved by millions, here at Sky.
About Us: Join us to rethink how sports are experienced. Backed by our AI-driven platform, we will build live sports experiences to be more immersive, more personalised, giving fans a chance to take control, watch the game from new angles, and participate in the action on any device. As a Senior Data Scientist, you’ll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We operate in a fast-paced, exploratory environment that rewards creativity, flexibility and a hands-on approach.
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 substantial base of sports fans. Identify trends in large datasets, develop models to predict 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 environments.
- Monitor model performance over time and adjust parameters for optimal results.
- Stay up-to-date on industry 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, monitoring, retraining strategies, and automated testing.
- Mentor and guide junior data scientists and engineers on productionising ML.
What you'll bring
- Strong collaboration skills across disciplines and creative problem-solving.
- Good understanding of large language and multi-modal models.
- Experience in Python, Docker, and cloud-based environments (ideally AWS).
- Strong background in data analysis and machine learning with proven experience (ideally 3+ years) 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 and Sky Glass products and services.
- Generous pension package and private healthcare.
- Discounted mobile and broadband.
- 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 experience and provide reasonable adjustments as needed. Please flag any adjustments to your recruiter early. We embrace hybrid working, mixing office and home-based work. Details on hybrid arrangements will be shared later in the process.
Your office space
Osterley Campus is a short walk from Syon Lane station with free shuttle buses to nearby stations. On campus you’ll find restaurants, a gym, cinema, and other facilities.
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, a criminal record check may be required, and depending on the role and any convictions, the offer could be withdrawn.
- Location:
- London, England, United Kingdom
- Salary:
- £150,000 - £200,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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