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The Cabinet Office, within the Public Sector Fraud Authority's Data Analytics Service Team, is recruiting a Technical Architect to advance how government uses data and technology to counter fraud. You will lead the design of Azure-based systems, guide junior colleagues, and work with a range of stakeholders to deliver trusted digital solutions across the public sector.
Role requires strong cloud, ML, and DevOps know-how, with the ability to translate complex data processes into robust
Cabinet Office supports the Prime Minister and ensures the smooth running of government - from developing policy, to modernising public services. We welcome talented people from all backgrounds with the skills and the commitment to build a career in the Civil Service. This role offers an unparalleled opportunity to work at the very heart of government. The Public Sector Fraud Authority is the central hub of the Government's Counter Fraud Function and is internationally recognised as a world-leader in tackling fraud and corruption in the public sector. Right now, fraud represents a cost to the government which is estimated at £33bn-£58bn per year. Please note Recruitment campaigns for the Public Sector Fraud Authority (PSFA) are continuing as usual, but candidates should be aware that following the Government's announcement on the changes to some civil service departments, roles will be subject to the machinery of government move of the PSFA to DWP. We will provide more information on any potential or future impact this will have on office locations and other elements if you are selected to interview. This work remains of high importance to the civil service, and we thank you for your continued interest. This role sits within the Data Analytics Service Team in the Public Sector Fraud Authority. You will be working as a Technical Architect to advance how the government uses data & technology to find fraud within the public sector. You will support the engagement with government agencies to support them in identifying where data analysis could be applied to their business processes to most effectively counter residual fraud risks. The team works closely with a range of stakeholders; helping agencies fully map the data processes underpinning their schemes, identifying the information and analytics gaps that are the root cause of suspected fraud risks and advising on analysis and products to address residual fraud risks. You will lead on architecting new solutions: bringing your knowledge of cloud, productionised machine learning and generative AI, and DevOps best practices to the team's work. You will support and guide more junior members of our multidisciplinary team in our delivery, manage relationships with stakeholders to safeguard that delivery, and present any findings, outputs and recommendations to senior stakeholders. The role will sit within a team of data scientists, data engineers, delivery managers and business analysts., The jobholder's key responsibilities will be to: