Data Science Manager

You'll oversee a number of Data Science teams, owning the delivery of high-quality solutions, while being able to remain hands on and get into the detail. As our Data Science Manager, you'll collaborate with senior business stakeholders and data teams, promote and help evolve our ways of working, and ensure our teams build out advanced and measurable analytics and machine learning solutions that realise demonstrable value to our business. As our Data Science Manager, you'll have access to a wide range of benefits including: Hybrid working (we're in the office 3 days per week) Manager's bonus Annual pay reviewsWhat you'll be doing: With demonstrable experience in managing Data Science teams and taking projects from concept to production, you'll motivate the Data Science teams to deliver high-quality Data Science, Machine Learning and AI solutions appropriate to the challenges on the agreed Roadmap. You'll also: Develop a deep understanding of the business area the teams are working in, and own the solution designs the team proposes to key questions in those areas. Ensure adherence to the DS process and ways of working, understand each pod's capacity and being sure they are appropriately utilised. Have an expectation of remaining hands on up to 40% of the time. Provide regular, clear communication to the Data Science Management Team on the status of delivery initiatives in the pods, including risks and issues impacting delivery. Work with our Product Owners to prioritise DS tasks that are committed and unblock issues that may arise. Coach and support our Lead Data Scientists, providing direct line management and supporting the Leads to manage their Data Scientists. Our team are based at both Leeds and India, necessitating ability to perform this role remotely where required. What you'll have: You'll be highly numerate with a strong analytical background and proven ability to maintain hands-on technical contribution whilst managing a team. You'll also: Have demonstrable experience in delivering data science initiatives from concept into production, and can detail experience in data pre-processing, feature engineering, and model evaluation. Have strong experience in communicating complex analytical and technical concepts to business stakeholders. Be experienced in using Python or similar statistical analysis packages. Have strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualisations in tools such as Tableau. ​ Be able to demonstrate experience in leading data scientists, monitoring the performance of these colleagues and intervening where necessary, and assisting them in their career development. Have an appreciation of the importance of data governance, and of how to assess and enhance the quality of our data. Given the pace of change in new technologies and techniques, show commitment to keeping your knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses and attend industry events. Have a methodical approach with good attention to detail