Overview
Senior Data Scientist role focusing on developing and implementing data-driven solutions to deliver new innovative sports-focused products for fans. Work within a specialised machine learning team on the AI-driven platform to create immersive, personalised live sports experiences.
We work in a fast-paced, exploratory environment that rewards creativity, flexibility, and hands-on experimentation. If you enjoy iterative development and solving open-ended problems, this is the right fit.
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 appropriate 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
* 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 (ideally 3+ years) architecting and building end-to-end ML systems for industry problems
* AWS Machine Learning Certification desirable
* Experience using Infrastructure-as-Code to deploy ML solutions on AWS
Rewards
Perks include access to Sky Q and Sky Glass, generous pension, private healthcare, discounted mobile and broadband, and 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. Please flag any adjustments you need to your recruiter as early as you can. We embrace hybrid working and split time between office spaces and home.
Your Office Space
Osterley
Our Osterley Campus is a short walk from Syon Lane and accessible by free shuttle buses to nearby stations. There are bike shelters, showers, and on-site amenities including restaurants, cafes, a Waitrose, gym, cinema, car wash, and beauty services.
Selection Considerations
We may conduct a criminal record check if your application is successful. Depending on role and convictions, offers may be withdrawn.
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