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.
Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index
The Role
NBA decisioning and marketing automation are becoming critical battlegrounds for clients in telco, media, and financial services — where the volume of customer interactions is high, the cost of a wrong decision is real, and the advantage of getting it right is significant. Rules-based systems and legacy platforms are being challenged by purpose-built, AI-driven solutions. Whilst the outcome of this challenge isn't immediately clear we need someone who can navigate the complex set of options, define, design and optmise solutions for our clients.
This is a strategy & delivery role. You will define strategic direction, design solutions, and lead the optimisation of decisioning frameworks and automation solutions for major clients. You bring deep expertise in NBA logic, data science, and decisioning architecture — and the consulting capability to turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve them. Proactively, not reactively. When something is unclear, you create clarity. When something is broken, you fix it.
What You Will Do
Decisioning & Data Science
Design and implement NBA/NBO decisioning frameworks — eligibility rules, suppression logic, propensity score integration, offer prioritisation, and arbitration
Operationalise propensity models, uplift models, CLV scores, and churn predictions into live decisioning frameworks
Use value-based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion
Measurement frameworks and optimisation
Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning
Architect real-time decisioning solutions integrating with CRM, CDP, and data platforms
Advise on technology selection — purpose-built vs platform, capex vs opex — with a forward-looking point of view
Automation & Activation
Design automated customer journeys across email, push, SMS, in-app, and web personalisation
Design trigger-based, event-driven automation flows that respond to customer behaviour in real time
Design integrations with marketing, commerce and service platforms to close the loop between model scores and actions
Ensure automation is scalable, auditable, and aligned with consent and data governance requirements
Delivery & Leadership
Lead technical workstreams end-to-end — from design through to live deployment — owning the outcome throughout
Define data input requirements for decisioning and drive data quality issues before they become delivery problems
Design end to end decisioning solutions
Translate model outputs and complex logic into language non-technical stakeholders can understand and trust
Mentor junior team members and build decisioning capability across the practice
Contribute to business development — shaping proposals and demonstrating technical credibility in client conversations
What You Will Bring
Required
Experience in a decisioning, data science, marketing technology, or customer analytics delivery role
Hands-on experience designing and delivering NBA/NBO solutions in a commercial environment
Deep understanding of decision logic: suppression, fatigue management, prioritisation, and arbitration
Experience with using one or more platforms in a decisioning solution — Pega CDH, Salesforce Marketing Cloud, Adobe Target/AEM/Campaign, Braze, Iterable, or purpose-built solutions
Strong working knowledge of predictive modelling for decisioning: propensity, churn, CLV, uplift, and incrementality
Experience designing statistically valid champion/challenger and multivariant tests and holdout methodologies
Ability to critically evaluate model performance in a business context
Experience designing measurement frameworks that prove genuine incremental value
SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics
Solution-oriented and proactive — you define the path forward, raise issues early, and drive progress without being pushed
Consulting or client-facing delivery experience is a strong advantage
Exposure to GenAI applications in decisioning — personalised content generation, AI-driven offer selection
Preferred
Experience evaluating purpose-built decisioning solutions and contributing to capex/opex business cases
Familiarity with real-time streaming technologies in a decisioning context
Awareness of data clean rooms and privacy-preserving analytics for audience targeting
Bachelor's or Master's degree in a quantitative, technology, or business-related field
Who You Are
You are a technical specialist who solves problems and delivers outcomes. You have spent enough time in decisioning systems — the data pipelines, the model outputs, the business logic, the edge cases — to know what makes them work in practice, not just in theory. When a client brings you a challenge, you do not wait for someone else to frame the solution. You get into the data, form a hypothesis, and start moving.
You are solution-oriented in the most practical sense: focused on the outcome, not the process. If the approach is not working, you say so and bring an alternative. If the data is not fit for purpose, you define what needs to change and drive that conversation. You take full ownership — if a decisioning framework is underperforming, you diagnose it; if stakeholders are misaligned, you get them aligned. You care about whether it works, not just whether it was built.
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:
30 days of leave per year plus 3 extra volunteering days for charitable work of your 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
Required — Technical Skills
Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing)
Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management
Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows
Machine Learning — model development, training, evaluation, and deployment
APIs & backend development — FastAPI, REST APIs, microservices architecture
Vector databases & embeddings
Cloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scale
Version control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in production
Strong experience with Generative AI in production — not just experimentation
A track record of building working solutions, not just prototypes or proofs of concept
Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent)
Strong analytical and problem-solving skills — you debug fast and think in systems
Comfortable working with messy, incomplete requirements and driving clarity through action
English fluency and comfort working in global, cross-functional teams
Preferred
Experience with NLP, computer vision, or multimodal AI models
Knowledge of AI safety, guardrails, and responsible AI practices in production
Familiarity with Snowflake, Databricks, or similar data platforms
Prior experience acting as an AI champion or innovator within a larger organisation
Consulting or client-facing delivery experience
Bachelor or Master degree in Computer Science, Data Science, Engineering, or related field
Key Competencies
Solution oriented mentality — sees a problem, starts building, ships, improves
Experimental mindset — runs fast tests, learns from failure, iterates without ego
Strong execution and delivery orientation
Advanced AI engineering and Generative AI expertise
Collaborative team player
Curiosity and commitment to continuous learning
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.
