Generative BI specialist

As an Advanced Analytics Manager with expertise in Generative BI, you’ll be a driving force behind one of the most ambitious transformations in UK financial history, transforming how insights are created and consumed across the Bank.

With over 30 million customers, billions of transactions, and 70,000+ colleagues, you’ll tap into one of the richest data ecosystems in the country. And you’ll harness it through AI and Generative BI capabilities, crafting tools that make decision-making intuitive and intelligent.

You’ll help lead the development of pioneering BI solutions using generative models, working closely with stakeholders across the business to turn data into decisions, and complexity into clarity.

Key responsibilities include:

• →Design and deliver next-gen Generative BI solutions that solve real problems and inspire better business decisions
• →Collaborate across geographies to translate stakeholder needs into technical magic — from scoping to deployment
• →Work seamlessly with agile teams of engineers, analysts, and data scientists to build bold, scalable solutions
• →Craft semantic models that power conversational analytics and fuel self-service intelligence
• →Work with Google Cloud & Power BI Copilot, navigating big data and selecting the right tools to unlock insight
• →Bring data stories to life, tailoring narratives for all levels — from technical teams to boardroom execs
• →Engineer intelligent prompts that ensure relevance, clarity, and impact for generative tools
• →Support with user training and adoption activity to ensure Gen BI is effectively scaled across the Group
• →Following and, where needed, creating and sharing Gen BI best practice

We’re after curious, driven, and creative thinkers and as an Advanced Analyst you will be expected to have good experience and capabilities as follows…

• At least 3 years of hands-on experience in data science or BI self-service insights projects
• Strong foundations in statistics — think forecasting, clustering, optimisation and predictive modelling
• Python skills that go beyond the basics — modular, efficient, and intuitive code
• Solid proficiency in SQL and cloud platforms, especially BigQuery
• A sharp nose for commercial insight, using data to unlock value and shape strategy
• A flair for data storytelling, turning models into messages that move minds

Bonus points if you’ve taken projects from proof-of-concept to full industrial scale in complex business environments.