Lead Data Scientist / Deep Learning Practitioner

Capital One

London, London, United Kingdom
Hybrid
Deep learning models for sequential data
Develop and deploy deep learning models
Pytorch, tensorflow, or hugging face transformers
This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities

Job Summary

  • This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities.
  • Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers).
  • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes.

Matching Summary

This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities.

Skills & Requirements

Must-have

  • Deep learning models for sequential data
  • Develop and deploy deep learning models
  • PyTorch, TensorFlow, or Hugging Face Transformers
  • Structured and unstructured data handling
  • SQL/Python coding in a team setting
  • Lead model development and technical direction

Nice-to-have

  • Business acumen and statistical skills
  • Collaborate with business stakeholders
  • Drive for continued learning
  • Prototype new techniques to assess value

Key Requirements

  • Strong experience developing and deploying deep learning models
  • Proven track record leading model development
  • Experience producing and managing reliable code in SQL/Python
  • Hands-on experience with modern ML/DL frameworks
  • Experience working with structured and unstructured data
  • Strong understanding of probability, statistics, machine learning

Work Rights

Not specified

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