Senior Data Scientist

Bet365
United StatesFull-timePosted Sep 16, 2026

About the role

About The Company

Bet365 is a leading global online gambling company renowned for its innovative approach to sports betting, casino gaming, and poker. With a strong commitment to providing an engaging and secure platform, Bet365 has established itself as a trusted industry leader through continuous innovation, customer-centric solutions, and a focus on responsible gaming. The company operates across multiple markets worldwide, leveraging cutting-edge technology and data-driven insights to enhance user experience and operational efficiency. Bet365’s dedication to excellence and its dynamic work environment make it an ideal place for talented professionals seeking to make a significant impact in the digital gaming industry.

About The Role

As a Senior Data Scientist at Bet365, you will play a pivotal role in advancing the company's machine learning capabilities, particularly within the realms of Sports and Gaming products. You will be responsible for leading the end-to-end lifecycle of machine learning solutions, from conceptualization and development to deployment and monitoring. This role involves working closely with cross-functional teams including Data Engineering, Product Management, and Operations to translate complex business challenges into scalable data science solutions. You will champion the adoption of MLOps practices on Google Cloud Platform, ensuring models are automated, scalable, and deliver measurable value. This is a hands-on technical leadership position that requires a passion for innovation, rapid iteration, and delivering tangible business outcomes through data-driven insights.

Qualifications

The ideal candidate will possess a strong academic background with a Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field, complemented by extensive industry experience. Proven expertise in deploying machine learning models in production environments is essential, along with a demonstrated ability to mentor and lead technical teams. Candidates should have exceptional programming skills in Python, with proficiency in data science libraries such as Scikit-learn, Pandas, NumPy, and XGBoost. Advanced SQL skills, particularly within Google BigQuery, are required. Hands-on experience with Google Cloud Platform, especially Vertex AI, Pipelines, and Endpoints, is highly desirable. Familiarity with containerization tools like Docker and Kubernetes, along with CI/CD practices, will be advantageous. Experience with real-time stream processing systems such as Kafka, and a strong understanding of MLOps principles, are also important for success in this role.

Responsibilities

Design, develop, and deploy machine learning and AI models to optimize Bet365’s Sports and Gaming products, ensuring high quality and scalability. Lead by example through technical execution, maintaining best practices in coding and model development.

Build, mentor, and guide 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.

Collaborate closely with Data Team Leads, Product Managers, and Operations teams to align data science initiatives with business goals and platform capabilities, ensuring seamless integration and deployment.

Work with the UK-based Data Science team to share methodologies, align standards, and leverage global technical expertise, promoting consistency and excellence across regions.

Translate ambiguous and complex business questions into clear, actionable data science projects, delivering rapid prototypes and deploying solutions that generate measurable business value.

Partner with Machine Learning Engineers to implement robust MLOps practices on Google Cloud, automating model deployment, monitoring, and scaling to support business growth.

Establish and maintain data science workflows, standards, and code repositories from scratch in a new regional office, ensuring consistency, reproducibility, and high-quality outputs.

Benefits

Bet365 offers a competitive compensation package, including comprehensive health insurance, retirement plans, and performance-based bonuses. The company promotes a flexible work environment with opportunities for remote work and professional development. Employees have access to ongoing training programs, conferences, and certifications to enhance their skills. Bet365 fosters a collaborative and inclusive culture, encouraging innovation and recognition of individual contributions. Additionally, team members benefit from a dynamic work environment that values work-life balance, diversity, and career growth opportunities within a global organization.

Equal Opportunity

Bet365 is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. We do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, or any other protected characteristic. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, and advancement.

Responsibilities

  • Design, develop, and deploy machine learning and AI models to optimize Bet365’s Sports and Gaming products.
  • Build, mentor, and guide a team of Junior Data Scientists and Machine Learning Engineers.
  • Collaborate closely with Data Team Leads, Product Managers, and Operations teams.
  • Translate ambiguous and complex business questions into clear, actionable data science projects.
  • Partner with Machine Learning Engineers to implement robust MLOps practices on Google Cloud.
  • Establish and maintain data science workflows, standards, and code repositories.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven expertise in deploying machine learning models in production environments.
  • Exceptional programming skills in Python and proficiency in data science libraries.
  • Advanced SQL skills, particularly within Google BigQuery.
  • Hands-on experience with Google Cloud Platform, especially Vertex AI.
  • Familiarity with containerization tools like Docker and Kubernetes.

Benefits

  • Competitive compensation package including health insurance and retirement plans.
  • Flexible work environment with opportunities for remote work.
  • Access to ongoing training programs, conferences, and certifications.
  • Collaborative and inclusive culture promoting innovation.
  • Dynamic work environment valuing work-life balance and career growth.

Skills mentioned

PythonMachine LearningScikit-learnPandasNumPyXGBoostSQLGoogle CloudVertex AIMLOps

About Bet365

AgileGrid Solutions is a staffing and recruiting company focused on helping businesses find, attract, and hire qualified talent across a range of industries. The company provides recruitment and workforce solutions tailored to the specific hiring needs of employers, from sourcing and screening candidates to supporting the overall hiring process. AgileGrid Solutions works to connect skilled professionals with the right career opportunities while helping organizations build reliable, high-performing teams. With a focus on efficient recruitment, quality talent, and client satisfaction, the company aims to simplify the hiring process and deliver effective staffing solutions.

Staffing and Recruiting51-200 employees