Global Head, Data Science

GOCal

London, United Kingdom
Applied data science and machine learning
Production within banking or capital markets
Statistics, machine learning, time-series analysis
The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny

Job Summary

  • The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.
  • You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management.
  • Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

Matching Summary

The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.

Skills & Requirements

Must-have

  • applied data science and machine learning
  • production within banking or capital markets
  • statistics, machine learning, time-series analysis
  • full model lifecycle ownership
  • production ML system design
  • explainable models for regulated environments
  • data quality, anomaly detection, and monitoring

Nice-to-have

  • pragmatic and outcome-driven mindset
  • technical mentor to other data scientists
  • collaboration with software engineers and platform teams

Key Requirements

  • 20+ years working with analytics, data science, or ML systems
  • Significant experience in financial services or regulated domains
  • Limited line management responsibility

Work Rights

Not specified

Tailored Resume

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