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# Data Scientist

- **Company:** Sportradar
- **Location:** London, UK (Remote available)
- **Salary:** £57,420.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, Artificial Neural Networks, Python (Programming Language), Object-Oriented Software Development, Software Engineering, SQL Databases, Gitlab, Atlassian Tools, Workday
- **Published:** September 2, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5866715631

## About the Role

* Master's degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field.
 * Experienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, etc.
 * Very strong skills in R or python.
 * Advanced coding and analytical skills.
 * Strong communication skills, fluency in English.
 * Creative thinking, keen to further refine systems and processes.
 * Highly self-motivated, leading by example and enthusiasm.
 * Being a team player, with the ability to work with new teams immediately.
 * Strong interpersonal skills.

Preferred:

 * Experience in object-oriented programming, preferably Java.
 * Experience with Gitlab, Jira & Confluence.
 * Experience with SQL.

## Description

* Learn how predictive models look like in a betting context and build models on your own.
 * Support the team in maintaining the codebase.
 * Analyze/evaluate/optimize existing predictive models as model co-owner.
 * Research new methods for future applications., * A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding.
 * Ability to shape your own workday and career via a clearly defined professional and personal development plan.
 * Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities.
 * Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
 * Global Employee Assistance Programme.
 * Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience).
 * Online training videos.
 * Flexible working hours.


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