Lead Data Scientist – Nottingham

The role involves leading the development of cutting-edge deep learning models for enhancing underwriting capabilities through collaboration with stakeholders and technical teams. The candidate will focus on building neural networks like LSTMs, RNNs, or Transformers to process multi-modal data for predictive insights. Strong leadership skills in managing model projects, setting technical direction, and mentoring are essential. Proficiency in SQL/Python and experience with frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers are required. The position demands expertise in handling various data types including text, logs, and time series, with solid knowledge of statistics and machine learning concepts. The role is based in Nottingham with a hybrid working model, offering career progression, training, and comprehensive benefits.