At a Glance
- Tasks: Lead the design and optimisation of AI-driven decisioning frameworks for major clients.
- Company: Join Accenture Song, a leader in data and AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Make a real impact by transforming decision-making processes with cutting-edge technology.
- Qualifications: Expertise in data science, decisioning architecture, and consulting skills required.
The predicted salary is between 63000 - 77000 £ per year.
You could be just the right applicant for this job. Read all associated information and make sure to apply. hackajob is partnering directly with Accenture to hire for this role.
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.
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. We need someone who can navigate the complex set of options, define, design and optimise 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
- 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.
Data Decisioning Manager in London employer: Hackajob
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We think this is how you could land Data Decisioning Manager in London
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We think you need these skills to ace Data Decisioning Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
