RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience.
RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London.

THE DATA SCIENTIST/STATISTICIAN ROLE:

RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK’s most interesting media measurement projects – like Barb, RAJAR, CFlight and TouchPoints. Whether you’re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences.

Key responsibilities as their Data Scientist/Statistician will include:

• Providing statistical expertise across RSMB’s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints.
• Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight.
• Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints.
• Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches.
• Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively.
• Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings