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Metrica Recruitment is seeking a Data Science & Gen AI Manager to lead strategic AI initiatives across client projects from London with hybrid working. The role combines strategic leadership with hands-on delivery, guiding a team of 10–15 consultants to deliver measurable business outcomes.
You will shape Generative AI applications for customer experience and digital analytics, set technical direction, and oversee proposals and costings for client engagements in a hybrid London role with UK-wide
As part of a global digital and creative consultancy, you will lead data science and Generative AI initiatives that redefine how organisations connect with customers. This role blends strategic leadership, advanced AI and consulting influence to deliver measurable commercial and customer impact at scale.
This organisation is a global consulting leader combining design, strategy, technology, data and AI to create customer-centred products and experiences. Known for its strength in design and innovation, it partners with ambitious organisations to drive growth through insight-led decision making. You will join an open, inclusive and energising culture that values flexibility, autonomy and impact. Based primarily in London with hybrid working, this role also offers location flexibility across other UK offices including Manchester and Glasgow. You will agree a balanced approach across office, home and client environments.
As a Data Science & Gen AI Manager, you will provide strategic leadership within a growing data science team of around 10 to 15 consultants. You will shape how data science and Generative AI are applied across customer experience, marketing and digital analytics, while remaining hands on with complex delivery. The role spans technical leadership, people management and commercial responsibility, with accountability for turning advanced analytics and AI into clear business outcomes.
The organisation offers a competitive and flexible reward package designed to support performance, wellbeing and long term career growth.
Job Owner: d.prosser
Tagged as: AWS, Python, SQL