Lead Data Scientist

On a typical day you will: 

 

• Lead, mentor and motivate a data science team (up to10 people) and set the technical direction and standards 
• Collaborate within a cross-functional digital team, including Product Management, Engineering and Design. 
• Bridge the gap between business problems and data science solutions, turning opportunities into impactful, production-ready models. 
• Utilise strong analytical and modelling skills to design, build, and validate machine learning solutions, particularly tree-based methods (e.g. XGBoost, GBM, LightGBM), neural networks, and transformer-based approaches. 
• Define and lead the end-to-end lifecycle of data products in an agile environment, from problem framing and experimentation through to deployment and monitoring. 
• Conduct and document detailed analysis, including business case development, to prioritise use cases and clearly co...