Lead Data Scientist – Nottingham

The position involves leading the development of advanced deep learning models to enhance underwriting capabilities, with responsibilities including designing neural networks, leveraging diverse data sources, collaborating with stakeholders, and mentoring team members. The successful candidate will have extensive experience with sequential data, model deployment, and coding in SQL and Python within a collaborative environment. Practical knowledge of frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers is essential, along with skills in handling structured and unstructured data. A solid understanding of probability, statistics, and large data manipulation is required, complemented by a passion for continuous learning and experimentation. The role is based in Nottingham with a hybrid work model, requiring onsite and remote work flexibility.