What You Will Do

• Design and deliver customer analytics, data science, machine learning and generative AI solutions, from problem framing and data exploration through to production and measurable client value.
• Make the technical decisions on your workstream, covering analytical approach, model and architecture selection, evaluation, guardrails, and cost and performance trade-offs.
• Apply techniques including segmentation, experimentation, propensity modelling, churn prediction, customer lifetime value and next-best-action modelling to generate insight and improve customer decisions.
• Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines.
• Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable and aligned to client objectives.
• Work with engineering, architecture and product teams to take prototypes through to production, monitoring and scale using appropriate cloud and MLOps practices.
• Lead the day-to-day technical delivery of a workstream, managing quality, risks and dependencies while coaching and developing team members.
• Communicate analytical findings, technical choices, limitations and trade-offs to technical teams and senior business stakeholders, connecting the work to customer and commercial value.
• Contribute to proposals, solution approaches, estimates, reusable assets and best practices for customer-focused data and AI opportunities.

What’s In It For You

Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:

• 25 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
• Family-friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Private healthcare insurance plan and Mental Wellbeing support.
• Employee Assistance Programme, Career Development and Counselling.
• A range of generous Parental Leave offerings.

#LI-EU

SNGCR01

What We Are Looking For

CORE REQUIREMENTS

• Hands-on data science and AI delivery in the customer domain. Experience building and delivering machine learning, generative AI or LLM-based solutions in real client or product environments, applied to customer growth, personalisation, marketing, commerce, sales or service. You can explain how a solution works, the decisions you made and the value it created.
• Strong Python capability. You can write production-quality Python and review and improve the code, analytical methods, model designs, prompts and pipelines produced by others.
• Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more appropriate than an LLM.
• Generative AI and agentic systems. Practical understanding of generative AI architectures and techniques, including retrieval-augmented generation, LLM evaluation, prompt and context engineering, and agentic patterns. You understand their benefits, limitations and trade-offs.
• Data and production foundations. Experience preparing and integrating data for analytics and AI solutions, with practical knowledge of testing, deployment, monitoring and MLOps. You understand what it takes to operate a solution after it goes live.
• Client communication and collaboration. You can turn ambiguous business problems into focused analytical approaches and explain technical findings, choices, risks and limitations clearly to technical teams, senior client leaders and non-technical audiences.
• Responsible AI and governance. An understanding of fairness, privacy, explainability, security and human oversight, and how these considerations influence customer-facing analytics and AI solutions.
• Technical workstream leadership. Experience leading the work of data scientists, analysts or AI engineers, maintaining technical quality, coaching less experienced colleagues and taking accountability for delivery outcomes.

NICE TO HAVE

• Consulting and commercial exposure. Experience contributing to proposals, estimates, solution approaches, business cases or the identification of follow-on opportunities.

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.