Data scientist (marketing)

The ASA is the UK’s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful. In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system , which uses AI to proactively monitor online advertising. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more. You will be analysing the large volumes of ads the Active Ad Monitoring system captures, providing intelligence that helps teams across the ASA tackle real-world issues in online advertising. You will work primarily in Python, making extensive use of AI models to extract meaning from text, images and videos, and turning unstructured data into actionable intelligence. You will also have a role in helping understand how AI can help accelerate processes across the ASA. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the work you do helps protect UK consumers . You will have a genuine enthusiasm for using data science and AI to improve ad regulation in the UK You will hold or will shortly receive your results for a degree in a subject with a significant mathematical, statistical or software development component. You will have the ability to write high-quality Python code You will be able to apply statistical/machine learning techniques, and have an understanding of how they work and their limitations You will have the ability to creatively solve complex problems, matching appropriate technical solutions to real-world challenges in regulating online advertising We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. Women are currently under‑represented within data science roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under‑represented in this area. As part of our application process you will need to answer some online questions regarding your motivation and technical ability. For that reason, we ask that you do not get AI to write your answers, but if you’d like AI to help you refine your thoughts, please do so. Sunday 12 July 2026.