> Markdown version of [/jobs/ext/1529264-soccer-data-scientist](https://www.wearedevelopers.com/jobs/ext/1529264-soccer-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Soccer Data Scientist - **Company:** Swish Analytics - **Location:** London, UK (Remote available) - **Experience:** Experienced - **Salary:** £58,804.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Information Engineering, Github, Python (Programming Language), Machine Learning, Monte Carlo Methods, Standard Sql, Software Construction, Beta Testing, Information Technology, Data Analytics, Markov, Software Version Control - **Published:** July 15, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5801169861 ## About the Role * Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for soccer or sports betting * Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * Minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting * Experience with relational SQL & Python * Experience with source control tools such as GitHub and related CI/CD processes * Experience working in AWS environments etc * Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions * Excellent communication skills to both technical and non-technical audiences Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks. ## Description Swish Analytics is hiring Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models., * Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products. * Develop contextualized feature sets using specific domain knowledge in soccer. * Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online experimentation. * Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. * Adhere to software engineering best practices and contribute to shared code repositories. * Document modeling work and present to stakeholders and other technical and non-technical partners. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Rules, Heuristics, or LLMs? 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