Data Science Manager - Marketing & Customer

Salary: £50,000 - 75,000 per year Requirements: • We are looking for experience translating business needs into robust data solutions and owning data strategy, architecture, and engineering excellence. • We are looking for the ability to define strategies for AI solutions in alignment with client needs. • We are looking for experience shaping AI strategy and overseeing the delivery of LLM-based solutions. • We are looking for experience architecting generative AI initiatives, including proof-of-concept and prototype development. • We are looking for subject matter expertise in generative AI and the ability to guide cross-functional teams. • We are looking for experience with deployment strategies, including containerization, performance monitoring, and production deployment. • We are looking for experience leveraging cloud platforms such as AWS, Azure, and GCP for scalable model deployment. • We are looking for experience deploying machine learning algorithms that drive measurable business value. • We are looking for knowledge of Responsible AI principles and standards. • We are looking for experience evaluating generative AI solutions and identifying technical risks. • We are looking for the ability to consult on complex analyses and advanced machine learning methods. • We are looking for the ability to communicate insights and provide strategic guidance to senior client leadership and internal teams. • We are looking for the ability to mentor and develop others. • We are looking for experience operating across multiple industries and business functions. Responsibilities: • We translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence. • We work closely with teams and senior architects to define strategies for AI solutions and ensure alignment with client needs. • We shape AI strategy and oversee the delivery of LLM-based solutions that improve customer and marketing outcomes. • We architect early-stage generative AI initiatives and direct proof-of-concept and prototype development. • We act as subject matter experts on generative AI and guide cross-functional teams across digital, platform, and governance. • We execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. • We consult on leveraging cloud platforms such as AWS, Azure, and GCP for scalable model deployment. • We partner with developers and engineers to deploy machine learning algorithms that drive business value. • We collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications. • We evaluate generative AI solutions across teams and identify technical risks such as debt accumulation and overlapping initiatives. • We advocate for cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration. • We design reusable assets, solutions, and best practices for current and future business problems. • We consult on complex analyses and advanced machine learning methods to solve challenging business problems. • We operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations. • We communicate insights and provide strategic guidance to senior client leadership and internal teams. • We mentor and develop others by sharing our expertise with the wider Applied Intelligence practice. Technologies: • AI • AWS • Architect • Azure • Cloud • GCP • Support • LLM • Machine Learning • Marketing • Network More: We are Accenture Song, helping clients accelerate growth and value through sustained customer relevance across growth, product and experience design, technology and experience platforms, and creative, media and marketing strategy. We are part of Accentures global Data and AI practice, working across 40 industries in more than 120 countries with a strong culture of shared success, innovation, and continuous learning. This role is based in London or Manchester, with additional summary locations including Birmingham and Newcastle. We offer a competitive total rewards package that includes salary, annual performance bonus, equity opportunities, 30 days of leave plus 3 volunteering days, flexible and family-friendly policies, pension support, private healthcare, mental wellbeing support, employee assistance, career development, counselling, and generous parental leave. last updated 35 week of 2026