Soccer Data Scientist - Europe

Swish Analytics Inc.; United Kingdom; On-site; GBP 55,000 - 95,000; Full time

Job summary

Swish Analytics Inc. is seeking a Soccer Data Scientist to own core predictive models for sports betting. You will develop production-grade ML solutions, craft specialized soccer features, and collaborate with data engineering and product teams to deploy models.

The role emphasizes rigorous experimentation, clear communication, and delivering impactful insights to business partners. Join a fast-paced, technically driven environment focused on real-time analytics.

Qualifications

• Masters degree in Data Analytics, Data Science, CS or related technical subject.
• 3+ years of production-scale ML/statistical modeling in sports or betting.
• Strong knowledge of Probability Theory, ML, Inferential Statistics, Bayesian Methods.
• Experience with relational SQL & Python.
• Experience with GitHub and CI/CD workflows.
• Experience in AWS environments.
• Proven leadership capable of collaborating across teams.
• Excellent communication to technical and non-technical audiences.

Responsibilities

• 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 domain knowledge in soccer.
• Contribute to all stages of model development, from proofs-of-concept to deployment with data engineering and product teams.
• Strive to improve model performance via offline and online experimentation.
• Analyze results to assess performance and identify weaknesses for focused development.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present findings to stakeholders and technical audiences.

Skills

Python

SQL

Machine Learning

Leadership

Communication

Education

Master's degree in Data Analytics or related field

Tools

GitHub

CI/CD

AWS

Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job 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.

Duties

• 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.

Requirements

• 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

Equal Opportunity Employer

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.