Data Scientist (m/f/d)

Salary: £69,000 - 109,000 per year

Requirements:

• We require a masters degree or equivalent/higher qualification in Data Science, Statistics, Mathematics, Software Engineering, or a closely related field.
• We require experience in predictive modelling and a deep understanding of data analysis and modelling techniques such as GLMs, Time-Series Analysis, Bayesian Statistics, MCMC, neural networks, and similar methods.
• We require very strong skills in R or Python.
• We require advanced coding and analytical skills.
• We require strong communication skills and fluency in English.
• We require creative thinking and a desire to refine systems and processes.
• We require high self-motivation, enthusiasm, and the ability to lead by example.
• We require the ability to work as a team player and adapt quickly to new teams.
• We require strong interpersonal skills.
• Preferred: experience in object-oriented programming, preferably Java.
• Preferred: experience with GitLab, Jira, and Confluence.
• Preferred: experience with SQL.

Responsibilities:

• We work closely with colleagues in Quants, product owners, developers, and traders across the company.
• We create predictive models for pre-match and in-play betting markets across various sports.
• We clean, visualize, analyze, and interpret relevant data.
• We implement created models in Java and test them.
• We publish and maintain Java libraries.
• We provide data analysis and other math-related support on demand.
• We learn how predictive models work in a betting context and build our own models.
• We support the team in maintaining the codebase.
• We analyze, evaluate, and optimize existing predictive models as model co-owners.
• We research new methods for future applications.

Technologies:

• Confluence
• GitLab
• Support
• JIRA
• Java
• Python
• SQL

More:

We are the worlds leading sports technology company, operating at the intersection of sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to grow their businesses. We offer a collaborative environment with colleagues from around the world, including engineering offices in Europe, Asia, and the US, plus social events and team-building activities. We provide the opportunity to shape your workday and career through a clear professional and personal development plan, with career framework possibilities in a fast-growing company. We also offer a vibrant and inclusive community, employee assistance support, stress and focus tools, online training videos, and flexible working hours. We operate on an office-first hybrid model, with team members in the office four days a week to strengthen relationships, exchange ideas, and grow together. We are committed to equal access and encourage applications from all qualified candidates.

last updated 37 week of 2026