Data Science Associate Manager

Hackajob Ltd; Greater London; On-site; GBP 61,000 - 101,000; Full time

Benefits offered by this job

25 days leave

Annual performance bonus

Equity opportunities

Pension plan

Private healthcare

Mental wellbeing support

Employee Assistance Programme

Career development

Job summary

Accenture Song is seeking a senior data science and AI leader based in London or Manchester at Manager level to drive initiatives in data science, generative AI, and analytics strategy. You will design scalable data pipelines, guide model deployments, and collaborate with global teams to deliver AI-driven business value.

The role involves shaping the data engineering ecosystem, evaluating AI solutions, and partnering with clients and internal stakeholders to align technology with objectives.

Qualifications

• Experience in data science, generative AI, ML and data engineering ecosystems.
• Able to translate business needs into data science and analytics requirements.
• Familiar with scalable data pipelines and model-ready datasets.
• Experience supporting AI and data strategy development aligned to client objectives.
• Knowledge of model deployment, containerization, testing, performance monitoring and MLOps.

Responsibilities

• Contribute to initiatives using data science and generative AI to improve customer and marketing experiences.
• Support development of data platforms, data products, and analytics capabilities.
• Help senior leaders shape strategic direction of the data science and data engineering ecosystem.
• Collaborate with digital teams, architects, stakeholders to design enterprise AI solutions.
• Drive production deployment of solutions delivering measurable business value.
• Work with global teams to deliver the best solutions for clients.
• Support PoCs, prototypes, and evaluation frameworks for generative AI initiatives.
• Act as a knowledge resource on data science aspects of generative AI.
• Drive model deployment activities including containerization and MLOps.

Skills

Data science

Generative AI

Machine learning

Data engineering

MLOps

Cloud platforms

Responsible AI

Tools

AWS

Azure

GCP

Job description

Salary: £61,000 - 101,000 per year

Requirements:

• We want someone with experience in data science, generative AI, machine learning, and data engineering ecosystems.
• We expect you to be able to translate business needs into data science and analytics requirements.
• We are looking for someone familiar with scalable data pipelines and model-ready datasets.
• We value experience supporting AI and data strategy development aligned to client objectives.
• We expect you to help assess generative AI proposals, including feasibility, data requirements, model considerations, and integration with existing technology stacks.
• We want someone who can collaborate with digital teams, architects, stakeholders, engineers, and senior client leaders.
• We are looking for experience with model deployment, containerization, testing, performance monitoring, and MLOps processes.
• We value familiarity with cloud platforms such as AWS, Azure, and GCP.
• We expect knowledge of Responsible AI principles and ethical AI deployment.
• We value experience with advanced machine learning methods, ML pipelines, feature engineering automation, and reusable AI assets and frameworks.

Responsibilities:

• We contribute to initiatives that use data science and generative AI to improve customer and marketing experiences.
• We support the development of data platforms, data products, and capabilities for analytics and AI teams.
• We assist senior leaders in shaping the strategic direction of our data science and data engineering ecosystem.
• We collaborate with digital teams, architects, and stakeholders to design enterprise AI and data science solutions.
• We drive and support solutions into production that deliver measurable business value.
• We work with global teams to deliver the best solutions for clients.
• We support early-stage generative AI initiatives by helping design PoCs, prototypes, and model evaluation frameworks.
• We act as a knowledgeable resource on the data science aspects of generative AI.
• We drive model deployment activities, including containerization, testing, performance monitoring, and MLOps.
• We help use cloud platforms for scalable data science and generative AI deployments.
• We work with engineers to support deployment of machine-learning algorithms.
• 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.
• We contribute to the adoption of modern data science and AI technologies and best practices.
• We drive creation of reusable data science assets, frameworks, and best-practice approaches.
• We apply advanced machine-learning techniques to solve complex business challenges.
• We support AI-driven customer and marketing transformations across industries.
• We help communicate insights and contribute to strategic discussions with clients and internal teams.
• We share data science knowledge and collaborate on best practices across the practice.

Technologies:

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

More:

We are Accenture Song, and our Data & AI team helps transform leading organisations and communities around the world. Our work spans Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights, and we operate across 40 industries in more than 120 countries. This role is based in London or Manchester at Manager level (ML8). We offer a competitive total rewards package including a basic salary, annual performance bonus, opportunities to acquire equity, 25 days of leave plus 3 volunteering days, flexible work policies, a pension plan, private healthcare, mental wellbeing support, an Employee Assistance Programme, career development and counselling, and generous parental leave offerings. We also provide access to world-class training programmes, a global network of experts, and the opportunity to work with leading global brands on impactful data science and AI use cases.

last updated 38 week of 2026