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# Senior Data Science Engineer

- **Company:** Sky UK
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £53,263
- **Contract:** Permanent contract
- **Skills:** Unit Testing, Software Quality, Continuous Integration, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Test Data, Containerization, Integration Tests, Kubernetes, Information Technology, Data Analytics, Software Version Control, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5945463124

## About the Role

* A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
 * Proficiency in Python, object-oriented programming concepts, and version control
 * Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
 * Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
 * Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
 * Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports
 * Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics
 * Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies

## Description

Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform . As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.

 * Create statistical and machine learning models and integrate them into data science applications.
 * Collect and engineer sports data assets to assist in model development.
 * Implement the sports models and pricing engines in Python.
 * Create automatic tests to ensure model and pricing engine accuracy.
 * Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
 * Test data flows and model integration in a larger business context.
 * Coach and support more junior data scientists within the team.