Lead Data Scientist - Nottingham

The role involves leading the development of advanced deep learning models to improve underwriting capabilities, working with structured and unstructured data, and collaborating with stakeholders to translate prototypes into production. Candidates should have experience in deploying deep learning models for sequential data and managing model development projects, including stakeholder communication and mentoring. Skills in SQL, Python, and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers are essential. Familiarity with data manipulation techniques for large datasets, probability, and statistics is required. Continuous learning and prototyping new techniques in a fast-paced environment are highly valued.