Base: $177,036 to $266,000; bonus/equity: not spec...
Applied data science and machine learning
Production-grade models
Full model lifecycle ownership
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.
S&P Global provides a wealth of resources to grow your career and learn valuable new skills, secure your financial future through competitive pay, retirement planning, and financial wellness programs.
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.
Salary
Base: $177,036 to $266,000; Bonus/Equity: Not specified; Benefits: Eligible for additional S&P Global benefits
Skills & Requirements
Must-have
applied data science and machine learning
production-grade models
full model lifecycle ownership
large, complex, and imperfect datasets
production ML system design
explainable models for regulated environments
Nice-to-have
strategy-led and hands-on role
technical mentor to other data scientists
pragmatic and outcome-driven approach
Key Requirements
17+ years working with analytics, data science, or ML systems
Significant experience in financial services or regulated domains