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Senior Data Scientist - Trading

Bet365

Stoke-on-Trent, UK Posted 6 months Apply by Open
Full-time On-site Trading iGaming

Job Description

We are building a next-generation trading platform at bet365, driving high-performance automation and real-time intelligence at scale. As a Senior Data Scientist in our Trading Intelligence team, you will embed machine learning into operations to deliver measurable business impact. In this key technical leadership position, you will guide high-impact modeling, champion fast, safe iterations on our modern cloud stack, and mentor emerging talent to grow the team's data science capabilities - establishing the standard for methods, delivery, and communication. Embedded directly within Trading, you will collaborate closely with stakeholders and central engineering teams to frame problems, prototype models, and deploy solutions rapidly. Your work will balance statistical rigor with commercial impact, delivering tangible results while maintaining oversight of cloud experiment costs.

Requirements

PhD or MSc in a quantitative field (Computer Science, Statistics, Engineering) or equivalent industry experience. Demonstrable experience in data science with a track record of deploying and maintaining machine learning systems in production. Strong programming skills in Python and expertise in data science libraries (e.g., Scikit-learn, Pandas, NumPy, XGBoost); advanced proficiency in SQL. Extensive hands-on experience with Google Cloud Platform (GCP) and Vertex AI, including building and automating ML workflows. Experience with iGaming or online sports betting operators is a strong plus. A pragmatic, value-oriented mindset with strong communication skills, capable of translating complex technical concepts for diverse audiences.

USD 135000 - USD 150000 - yearly
Compensation
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Job Type Full-time
Work Style On-site
Department Trading
Location Stoke-on-Trent, UK
Industry iGaming
Languages English

About Bet365

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages.

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