Data Science Manager | Remote BVGroup brings over 80 years of expertise to every bet, delivering technology-driven betting and gaming experiences to a global audience. BetVictor is our flagship B2C brand, complemented by multiple partner brands we manage and service such as Heart Bingo, talkSPORT BET to name but a few. Our SaaS platform is fully developed and ready to deploy, requiring minimal setup and no complex configuration. Join us at BVGroup and make an impact in a fast-paced, global industry. Collaborate with passionate experts, tackle exciting challenges, and help define the next generation of online sports betting and gaming. Purpose of the role: As Data Science Manager you will be responsible for building and maintaining models that automate or improve decision-making within the business. We are upscaling from a couple of Data Scientists and a handful of models to a more sizeable team that makes a wider and more significant contribution to business performance. The focus of the role is on building the team, identifying new opportunities for Data Science to support the business, and making sure our models have good performance and are suitable for their use cases. Key Responsibilities: Management of data science projects within the Business Intelligence (BI) domain. Current projects include a model to detect welcome-offer abusers, an anomaly-detection service, and an overhaul of our automated Safer Gambling monitoring. Overseeing Data Science model development pipeline (from idea, through POC and MVP, to fully productionised model with monitoring), as well as the monitoring and performance of existing models. Identify new opportunities for Data Science to improve business performance – particularly through automating or enhancing account-level decision-making (e.g. bonus-abuser detection Line-manage the Data Science team (currently two direct reports, with further growth anticipated), providing coaching, development, and performance support. Collaborate closely with Data Engineering (sister team) to coordinate model deployment and integration with both our platform and operational processes. Leading data science sprints and retrospectives, fostering a culture of continuous improvement, agile delivery, and cross-functional communication. Essential Skills & Experience: We are looking for someone with strong hands-on experience in Data Science, capable of engaging directly with technical work when needed, while also running the team day-to-day and guiding it towards its strategic goals. Specific attributes expected: Experience leading small Data Science teams in a commercial environment, including defining project work and managing delivery, facilitating sprints and retrospectives. Coaching and development. Track record of delivering important models and integrating them into business processes. Deep understanding of the full model lifecycle, from problem scoping and data exploration through to deployment, monitoring, and iteration. Strategic mindset, with the ability to align Data Science initiatives to business goals, manage stakeholders, and communicate complex technical concepts to them. Expertise in machine learning and statistical modelling, particularly with very large data volumes. Proficient in Python and data visualisation tools. Familiarity with modern data engineering and MLOps practices are desirable, particularly in the context of deploying models into business-critical workflows. Excellent communication skills are essential, including a high level of written and spoken English. How we hire: Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious. In the event that we receive sufficient applications for the role, this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible. #LI-MR1 #LI-BVGroupRemote #DataScienceManager #DataScienceLead #DataEngineering #MLOps #ModelDeployment