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MARKS&SPENCER
Data Science ManagerMARKS&SPENCER • London, England
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Data Science Manager

Data Science Manager

MARKS&SPENCER • London, England
4 days ago
Job type
  • Full-time
Job description
Who you are * Lead and develop a Data Science team to deliver high quality analytics, ML, and AI solutions that support operational and colleague facing products. * Enable the delivery of data science use cases end to end, ensuring solutions address real business problems and deliver measurable value. * Translate business requirements into well defined data science problems, aligned to M&S priorities and decision making needs. * Champion excellent data science practices, ensuring solutions are scalable, well documented, and production ready. * Contribute to building a best in class data science culture, promoting collaboration, innovation, and continuous improvement. What you will do * Provide strong day to day leadership and coaching to Data Scientists, supporting technical growth, career development, and a positive learning mindset. * Plan and prioritise work effectively, balancing demand across multiple initiatives through clear resource planning and workload management. * Guide the team on appropriate methodologies and ML/AI techniques, embedding robust testing, validation, and monitoring into all solutions. * Work closely with product, data engineering, analytics, and MLOps teams to ensure solutions are seamlessly integrated and supported in production. * Communicate clearly with non technical stakeholders, explaining complex concepts simply and demonstrating the business value of data science outcomes. What's in it for you Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special... * After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household. * Competitive holiday entitlement with the potential to buy extra holiday days! * Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. * A generous Defined Contribution Pension Scheme and Life Assurance. * A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. * Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. * Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family. * Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. * A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. Everyone's welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. #hybridrole #LI-Hybrid #LI-HB1 #J-18808-Ljbffr
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Data Science Manager • London, England

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