Data Scientist at bet365 in Manchester (hybrid). You will develop machine learning solutions and perform statistical analyses to inform strategic, data-driven business decisions. In this role you will extract valuable insights from large datasets, develop predictive models, and contribute to data-driven decision-making across functions such as Fraud, Responsible Gambling, Trading and Branding. You will apply cutting-edge data science techniques in a fast-paced, high-volume environment within a globally recognised online gambling platform. Additional information: Sourcing, cleaning, and validating diverse datasets from internal and external sources; conducting in-depth exploratory data analysis to uncover patterns and trends; developing and deploying robust statistical and machine learning models; designing, implementing, and analysing A/B tests to measure the impact of new features, strategies, or models; contributing to scalable data science infrastructure; partnering with stakeholders to translate business goals into data-driven solutions; communicating complex findings to technical and non-technical audiences through visualisations, reports, and presentations; researching and championing innovative data science techniques; fostering a culture of continuous learning and innovation within the Data Analytics team. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice. The role is Hybrid and includes a second office location in Manchester, United Kingdom; Job Type: Standard.

Data Scientist at bet365 in Manchester (hybrid). You will develop machine learning solutions and perform statistical analyses to inform strategic, data-driven business decisions. In this role you will extract valuable insights from large datasets, develop predictive models, and contribute to data-driven decision-making across functions such as Fraud, Responsible Gambling, Trading and Branding. You will apply cutting-edge data science techniques in a fast-paced, high-volume environment within a globally recognised online gambling platform. Additional information: Sourcing, cleaning, and validating diverse datasets from internal and external sources; conducting in-depth exploratory data analysis to uncover patterns and trends; developing and deploying robust statistical and machine learning models; designing, implementing, and analysing A/B tests to measure the impact of new features, strategies, or models; contributing to scalable data science infrastructure; partnering with stakeholders to translate business goals into data-driven solutions; communicating complex findings to technical and non-technical audiences through visualisations, reports, and presentations; researching and championing innovative data science techniques; fostering a culture of continuous learning and innovation within the Data Analytics team. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice. The role is Hybrid and includes a second office location in Manchester, United Kingdom; Job Type: Standard.