Lead Data Scientist - Deep Learning Practitioner

EPX

London, London, United Kingdom
Hybrid
Deep learning models for sequential data
Lstm or transformers expertise
Python for production code
This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting

Job Summary

  • This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting.
  • Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs).
  • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers).

Matching Summary

This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting.

Skills & Requirements

Must-have

  • Deep learning models for sequential data
  • LSTM or transformers expertise
  • Python for production code
  • PyTorch, TensorFlow, or Hugging Face
  • Pre-training and fine-tuning large models
  • Structured and unstructured data handling

Nice-to-have

  • Business acumen and statistical skills
  • Cross-functional collaboration
  • Drive for continued learning
  • Prototyping new techniques

Key Requirements

  • Proven track record leading model development
  • Experience producing and managing reliable code
  • Familiarity with large data set manipulation

Work Rights

Not specified

Tailored Resume

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