Lead Data Scientist / Deep Learning Practitioner

EPX

London, United Kingdom
Hybrid
Deep learning models for sequential data
Develop sophisticated neural networks
Transform raw inputs into predictive features
Lead the development of next generation deep learning approaches to advance current underwriting models

Job Summary

  • Lead the development of next generation deep learning approaches to advance current underwriting models.
  • Unlock the value in non-traditional datasets by building sophisticated neural networks.
  • This is a permanent position based in our Nottingham or London office with a hybrid working model.

Matching Summary

Lead the development of next generation deep learning approaches to advance current underwriting models.

Skills & Requirements

Must-have

  • Deep learning models for sequential data
  • Develop sophisticated neural networks
  • Transform raw inputs into predictive features
  • Manage reliable and maintainable code
  • Modern ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)
  • Work with structured and unstructured data

Nice-to-have

  • Collaborate with business stakeholders
  • Bridge R&D and market results
  • Business acumen and statistical skills
  • Cross-functional project work
  • Drive for continued learning

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

Tailored Resume

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