Lead Data Scientist /Deep Learning Practitioner

The position involves leading the development of sophisticated deep learning models to enhance underwriting capabilities across the organisation. The role requires designing neural networks such as LSTMs, RNNs, and Transformers, utilising a mix of data types to improve predictive accuracy. Collaboration with stakeholders is essential to align project priorities with business objectives and ensure successful deployment of prototypes to production. Candidates should have extensive experience with neural networks, programming in Python and SQL, and proficiency with frameworks like PyTorch or TensorFlow. A solid understanding of statistics, machine learning, and large dataset manipulation is necessary to derive actionable insights from complex data. The role entails mentoring team members and establishing best practices for model deployment within a dynamic, innovative environment.