Senior Data Scientist

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 9000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position offering an unmatched experience across 96 sports and 700000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company we’re breaking new ground in software innovation too redefining what’s possible for our customers worldwide.

As a Senior Data Scientist you will accelerate our end-to-end machine learning lifecycle building on our strong data science foundation to scale impact and automate business decisions.

The data science team is at the forefront of driving business decisions we are now scaling our impact with a focus on automation and advanced MLOps practices on Google Cloud.

This is a key technical leadership role where you will champion rapid iteration and innovation this will be instrumental in elevating our ability to deliver measurable value. You will be responsible for the end-to-end lifecycle of machine learning solutions that optimize our Sports and Gaming products from development to automated deployment and monitoring.

This is an exciting opportunity to apply cutting-edge data science and MLOps principles in a fast-paced high-impact environment tackling complex challenges in areas like Trading Fraud Responsible Gaming and Personalization.

The listed salary for this position is $135000 – $150000 annually.

• PhD or MSc in a quantitative field such as Computer Science Statistics or Engineering or equivalent industry experience delivering complex data science projects.
• Demonstrable experience deploying and maintaining machine learning systems in a production environment with measurable business impact.
• Strong programming skills in Python and deep expertise in data science libraries such as Scikit-learn Pandas NumPy XGBoost.
• Advanced proficiency in SQL with hands-on experience querying and manipulating large complex datasets preferably with Google BigQuery.
• Extensive hands-on experience with Google Cloud Platform (GCP) including building and automating ML workflows with Vertex AI pipelines managing datasets training models and deploying to Vertex AI.
• Experience using collaborative development environments such as Vertex AI Workbench for rapid prototyping exploration and analysis.
• Experience leveraging other core GCP services such as BigQuery Cloud Storage and Cloud Functions to build end-to-end data solutions.
• Solid understanding of CI/CD principles and tools such as Cloud Build or GitLab CIfor automating ML workflows.
• Experience with containerization such as Docker Kubernetes/GKE.

• Owning the full data science lifecycle from initial ideation and rapid prototyping in tools such as Vertex AI Workbench to deploying production-grade models and pipelines that are robust scalable and automated.
• Leading the implementation of advanced MLOps principles within our Google Cloud environment designing building and maintaining CI/CD/CT pipelines for automated model deployment using Vertex AI Pipelines and other GCP services.
• Partnering proactively with stakeholders in Product Responsible Gaming Trading and other teams to identify high impact opportunities and translate complex business needs into tangible data science use cases.
• Building and implementing frameworks for automated model testing validation and monitoring using tools such as Vertex AI Model Monitoring to detect drift and ensure performance at scale.
• Designing implementing and rigorously analyzing A/B tests and other experiments to measure the impact of models and strategies ensuring data-driven solutions deliver clear quantifiable value.
• Researching and championing the adoption of innovative data science and MLOps techniques tools and methodologies that solve problems efficiently prioritizing impact over complexity.
• Acting as a technical leader and mentor for other data scientists fostering a culture of continuous learning and high-velocity execution.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

What We Do

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 9000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position offering an unmatched experience across 96 sports and 70000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe we handle over 6 million HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company we’re breaking new ground in software innovation too redefining what’s possible for our customers worldwide.

Why Work With Us

Our employees have worked hard to achieve our industry status so we encourage them to continue growing with us. We offer career paths in Technology Trading Operations and Media providing our teams with the tools skills and support they need to succeed. Together we can push the boundaries to improve our products and services worldwide.

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