Data Science Team Leader

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.

This is an exceptional hands-on player/coach opportunity to establish shape and lead our Data Science capability in the United States. As the Data Science Team Leader you will be a critical part of our expanding global data organization.

You will remain deeply technical and actively involved in writing code building models and executing machine learning solutions while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers.

We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments possesses a strong bias for action and values execution over theoretical complexity. To succeed you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable production-grade solutions.

Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead Data Product Lead and AgentOps Team Lead within the wider US Data team while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team.

The listed salary for this position is $165000 annually.

• Proven experience working in a fast-paced agile or startup-like environment. You must have a demonstrated passion for “getting things done” and delivering value iteratively. 
• Prior experience mentoring coaching or leading data scientists or engineers while remaining active in code development. 
• A strong track record of designing building deploying and maintaining machine learning models in production environments 
• Superior communication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non-technical audiences. 
• Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn Pandas NumPy XGBoost etc.).  
• Advanced SQL proficiency for querying and manipulating large datasets preferably within Google BigQuery.  
• Hands-on experience with Google Cloud Platform (GCP) ideally including the Vertex AI ecosystem (Pipelines Workbench Endpoints). 
• MSc or PhD in a quantitative discipline (Computer Science Statistics Mathematics Engineering) or equivalent practical industry experience. 
• Familiarity with containerization (Docker Kubernetes) and CI/CD principles for machine learning. 
• Experience with real-time stream processing or event-driven architectures (e.g. Kafka). 

• In this hands-on role you will devise code and deploy AI machine learning and predictive models leading by example in technical execution and code quality. This is not a pure people-management role. 
• Building mentoring and guiding a pragmatic delivery-focused team of Junior Data Scientists and Machine Learning Engineers fostering a culture of rapid iteration continuous learning and software engineering discipline. 
• Partnering closely with the Data Team Lead Data Product Lead and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities. 
• Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology align on standards and leverage global technical capabilities. 
• Translating complex ambiguous business questions into clear data science initiatives delivering measurable business value through rapid prototyping and deployment cycles. 
• Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack ensuring models are automated monitored and scalable. 
• Establish data science workflows standards and code repositories from scratch in a new regional office.

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

We’re one of the world’s leading online gambling companies revolutionizing the industry since 2000. Founded by Denise Coates CBE we now employ over 10000 people and serve over 120 million customers in 26 languages. 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 growth opportunities 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 global worldwide.Our focus on In-Play betting has solidified our market-leading position featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750000) we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

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