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About the Role

The Enterprise Solutions Technology team is seeking a Data Scientist Leader to design, develop, and operate high-rigor analytical and machine-learning systems within a complex, regulated financial-services environment. This role involves defining the AI/ML roadmap and building production-grade predictive models for anomaly detection, variance analysis, and forecasting, ensuring they are explainable, reliable, and compliant with regulatory standards.

Responsibilities

Deliver applied data science and machine learning in production within regulated, data-intensive environments.
Own the full model lifecycle including exploration, feature engineering, development, back-testing, validation, deployment, and monitoring.
Manage large, complex, and imperfect datasets containing missing data, outliers, and noisy labels.
Design production ML systems considering batch vs real-time inference, model serving patterns, and performance trade-offs.
Operate models in production with a focus on versioning, drift detection, retraining, and incident response.
Develop explainable models using feature attribution and transparency techniques suitable for regulated environments.
Combine statistical models, ML, semantic models, and rules-based logic to achieve accuracy and stability.
Focus on data quality, anomaly detection, and performance metrics to drive sustained improvement.
Act as a technical mentor to other data scientists through review and pairing.

Requirements

Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling.
Extensive experience building models under real operational constraints.
Strong understanding of production ML system design and failure modes.
Comfortable working directly with data, models, and code.
Pragmatic and outcome-driven mindset.
Clear communication skills for explaining modelling choices to diverse stakeholders.

Skills

Data Science
Machine Learning
Statistics
Time-series analysis
Predictive modelling
Feature engineering
Model lifecycle management
Production ML system design
Explainable AI
Anomaly detection

Experience Level

25+ years working with analytics, data science, or ML systems in production

Benefits

Health care coverage
Flexible time off
Continuous learning resources
Competitive pay
Retirement planning
Continuing education program with student loan contribution
Financial wellness programs
Family-friendly perks
Retail discounts
Referral incentive awards

About the Company

S&P Global Market Intelligence provides deep, insightful information and technology solutions to help customers make confident decisions.
The company operates globally with over 35,000 employees.
Core values include Integrity, Discovery, and Partnership.

Equal Opportunity

S&P Global is an equal opportunity employer and considers all qualified candidates without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.