Data Science Associate Manager

Salary: £50,000 - 75,000 per year

Requirements:

• Experience working with data science and generative AI solutions, including LLM-based and machine-learning-based approaches.
• Experience supporting the development of data platforms, data products, and analytics/AI capabilities.
• Experience translating business needs into data science and analytics requirements.
• Experience with model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
• Experience using cloud platforms such as AWS, Azure, or GCP for scalable data science and generative AI deployments.
• Experience collaborating with digital teams, architects, stakeholders, engineers, and senior client leaders.
• Experience consulting on complex analyses and advanced machine learning methods.
• Experience working across multiple industries and functions.
• Experience contributing to Responsible AI principles and ethical AI deployment.
• Experience with modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing.

Responsibilities:

• Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients.
• Support the development of data platforms, data products, and capabilities that empower analytics and AI teams.
• Assist senior leaders in shaping elements of the strategic direction for the practices data science and data engineering ecosystem.
• Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks.
• Collaborate with digital teams, architects, and stakeholders to support and lead the design of enterprise AI and data science solutions.
• Drive and support real-world solutions into production that deliver measurable business value for clients.
• Work alongside global teams to collaborate and deliver solutions for clients.
• Support the creation of reusable data science assets, feature stores, model templates, and best-practice frameworks.
• Help prepare communication materials and support discussions with senior client leaders and technical teams.
• Contribute to shaping AI strategies and supporting delivery of LLM-based and data-science-driven solutions.
• Translate business needs into data science and analytics requirements, supporting scalable data pipelines and model-ready datasets.
• Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives.
• Contribute to the development and delivery of LLM-based and ML-based solutions that improve customer and marketing outcomes.
• Support early-stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks.
• Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders.
• Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
• Help utilise cloud platforms for scalable data science and generative AI deployments.
• Work with engineers to support the deployment of machine-learning algorithms that deliver tangible business value.
• Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications.
• Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives.
• Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing.
• Drive the creation of reusable data science assets, frameworks, and best practices.
• Assist in applying advanced machine-learning techniques to solve complex business challenges.
• Support the delivery of AI-driven customer and marketing transformations across industries.
• Help communicate insights and contribute to strategic discussions with clients and internal teams.
• Share data science knowledge and collaborate on best practices across the practice.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Data-Science
• GCP
• Support
• LLM
• Machine Learning
• Marketing
• MLOps
• Network

More:

We are Accenture Song, helping clients accelerate growth and value through customer relevance across growth, product and experience design, technology and experience platforms, creative, media and marketing strategy, and campaign orchestration. Our Data & AI team works across more than 40 industries in over 120 countries, bringing together data science, strategy, architecture, AI engineering, and visual insights to drive end-to-end business change. We offer a vibrant, innovative culture with shared success, diverse thinking, global collaboration, world-class training, structured career development, and exposure to leading brands and modern data science and enterprise AI technologies. The role is based in London or Manchester and includes a competitive salary, annual performance bonus, equity opportunities, health and wellbeing benefits, leave, volunteering days, flexible working, pension support, private healthcare, mental wellbeing support, employee assistance, and parental leave offerings.

last updated 35 week of 2026