Amir Hussein

Amir Hussein is Head of Data Science at RadioPro, where he leads the use of data in decision-making. He has more than 15 years of experience in data analytics and computational modelling.

He studied computer science with a specialisation in data analytics, and his academic work focused on algorithms for parsing and interpreting large data sets, which remains the foundation of his work.

He began as a data analyst at a financial services firm, building models that improved risk assessment. He then joined a healthcare technology company as Lead Data Scientist, where he implemented predictive models for patient care and operational efficiency.

Before RadioPro he was Director of Data Science at a retail company, where he overhauled the customer data platform so that analytics could support personalisation and supply chain decisions.

At RadioPro he leads a team of analysts and data scientists working across the company's operations, from audience engagement to financial forecasting. He develops the algorithms behind the content recommendation engines.

His department works with other teams so that data supports strategic decisions, and he promotes the use of machine learning to automate analysis and give a clearer picture of how listeners behave.

He argues for data literacy inside the company and for transparency about how data is used, with an emphasis on methods that are sustainable and understandable.