Soccer Data Scientist - Europe

Swish Analytics; City Of London; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Swish Analytics is hiring Soccer Data Scientists to join our 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.

Swish Analytics is an Equal Opportunity Employer. You will ideate and implement modeling solutions, collaborate closely with data engineering and product teams to deploy models, and continuously strive to improve

Qualifications

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject.
• 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 producing models at production scale for soccer or sports betting.
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
• Experience with relational SQL & Python.
• Experience with source control tools such as GitHub and related CI/CD processes.
• Experience working in AWS environments.
• Proven track record of strong leadership skills and cross-team collaboration.
• Excellent communication skills to both technical and non-technical audiences.

Responsibilities

• Ideate, develop and improve machine learning and statistical models for Swish’s core algorithms.
• Develop contextualized feature sets using domain knowledge in soccer.
• Partner with data engineering and product teams to deploy new models.
• Improve model performance through offline and online experiments.
• Analyze results and identify model weaknesses to direct development.
• 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.

Skills

Python

SQL

Machine Learning

Statistics

Bayesian statistics

PMC/CI/CD

Git

AWS

Leadership

Communication

Probability Theory

Education

Master's degree in Data Analytics

Tools

GitHub

CI/CD

AWS

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow‑up screen.

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

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.