bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analyses that inform strategic, data-driven decisions across our Sports and Gaming platforms. You will join the Data Analytics team responsible for monitoring, analysing, and optimising key performance indicators and turning complex data into actionable insights. The role involves extracting valuable insights from large datasets, building predictive models, and contributing to data-driven decision making across functions such as Fraud, Responsible Gambling, Trading, and Branding. You will collaborate with stakeholders to identify opportunities, solve complex problems, and deploy robust data solutions using a modern tech stack. Responsibilities include data sourcing, cleaning, validation, exploratory analysis, developing and deploying statistical and ML models, designing and analysing A/B tests, and maintaining scalable data science infrastructure. You will translate business goals into data-driven solutions and communicate findings to technical and non-technical audiences through visualisations and reports. The position offers hybrid working arrangements and may involve coordination with our Manchester office. Qualifications include a PhD in Computer Science, Statistics, Mathematics, or related field; experience with regression, classification, clustering, and deep learning; programming skills in Python, R, SQL; familiarity with data mining, warehousing, visualization; knowledge of AI, cloud computing, distributed systems, and big data; strong communication skills. Please note:

bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analyses that inform strategic, data-driven decisions across our Sports and Gaming platforms. You will join the Data Analytics team responsible for monitoring, analysing, and optimising key performance indicators and turning complex data into actionable insights. The role involves extracting valuable insights from large datasets, building predictive models, and contributing to data-driven decision making across functions such as Fraud, Responsible Gambling, Trading, and Branding. You will collaborate with stakeholders to identify opportunities, solve complex problems, and deploy robust data solutions using a modern tech stack. Responsibilities include data sourcing, cleaning, validation, exploratory analysis, developing and deploying statistical and ML models, designing and analysing A/B tests, and maintaining scalable data science infrastructure. You will translate business goals into data-driven solutions and communicate findings to technical and non-technical audiences through visualisations and reports. The position offers hybrid working arrangements and may involve coordination with our Manchester office. Qualifications include a PhD in Computer Science, Statistics, Mathematics, or related field; experience with regression, classification, clustering, and deep learning; programming skills in Python, R, SQL; familiarity with data mining, warehousing, visualization; knowledge of AI, cloud computing, distributed systems, and big data; strong communication skills. Please note: