Accenture

Job Role: Data Science Associate Manager

Location: London/Manchester/Edinburgh/Newcastle/Birmingham

Career Level: Manager – ML8

We Are:

Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index

The Data & AI team:

The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.

Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

As a Data Science Associate Manager, you will:

Shape Customer and Marketing Experiences w/ Generative AI solutions:

• Be at the forefront of the industry — creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
• 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 practice’s 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 & lead the design of enterprise AI and data science solutions.

Deliver Real-World Business Impact

• Drive and support real-world solutions into production that drive measurable business value for our clients.
• Work alongside global teams to collaborate and deliver the best solutions for clients.

Grow Your Expertise and Career

• Become an integral part of our team with the credibility, expertise, and insight clients depend on.
• Develop your skills with our world-class training programmes.
• Drive your career progression through our structured career development programs.
• Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies.

Collaborate with Global Brands

• Work with leading global brands and household names on impactful data science and AI use cases
• Support the creation of reusable data science assets, feature stores, model templates, and best‑practice frameworks.
• Consult on complex analyses and advanced machine learning methods.
• 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.
• Operate across multiple industries and functions.
• Develop others by bringing your unique knowledge and skillsets to the wider practice.

In this role you will:

Define and Deliver Customer-Centric Data Strategies

• Translate business needs into data science and analytics requirements, supporting the development of 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.

Lead Generative AI Innovation and Prototyping

• 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.

Deploy and Scale AI Solutions

• Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
• Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments.
• Work with engineers to support the deployment of machine‑learning algorithms that deliver tangible business value.

Ensure Responsible and Ethical AI

• Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment.
• Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives.

Promote Innovation and Best Practices

• 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.

Lead Across Industries and Teams

• 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 collaborating on best practices practice.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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