Data Scientist / Statistician (model Developer)

Capital One

Nottingham, United Kingdom
Hybrid
Machine learning model development
Feature engineering and extraction
Statistical analysis and probability
Develop and maintain machine learning models that define the company's competitive advantage in the financial services market

Job Summary

  • Develop and maintain machine learning models that define the company's competitive advantage in the financial services market.
  • Explore and evaluate data using advanced feature generation and categorization techniques to stay at the forefront of innovation.
  • The role offers strong and diverse career progression, investing heavily in developing great people through training programmes and immediate access to core benefits.

Matching Summary

Develop and maintain machine learning models that define the company's competitive advantage in the financial services market.

Skills & Requirements

Must-have

  • Machine learning model development
  • Feature engineering and extraction
  • Statistical analysis and probability
  • Python coding best practices
  • Handling large datasets
  • Deep learning for sequential data

Nice-to-have

  • Natural curiosity and proactive engagement
  • Ability to communicate findings
  • Desire for continued learning
  • Challenging the status-quo
  • Collaborative and enthusiastic team

Key Requirements

  • Experience with Open Banking or Credit Bureau data
  • Experience with Model Risk Management
  • Familiarity with multi-modal data
  • Experience producing reliable and maintainable code in Python

Work Rights

Not specified

Tailored Resume

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