This role pays more than
96%
of similar roles. Most pay
$129,501–$199,800
— the shaded band above.
At the midpoint, this role pays about
$264k
versus about
$165k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
19 open roles
on FindRole.
Listed pay typically runs
$149,031–$226,998
across 14 roles with salary data.
The Data Scientist Leader role at S&P Global Market Intelligence involves leading the design and development of high-rigor analytical and machine-learning systems for complex, regulated financial services. This hands-on position requires defining an AI/ML roadmap while building models for anomaly detection, variance analysis, and forecasting under real operational constraints. Responsibilities include feature engineering, model deployment, monitoring, and performance management in collaboration with engineering teams. Ideal candidates have over 25 years of experience in data science within banking or capital markets, expertise in statistics, machine learning, and time-series analysis, and a strong focus on data quality and explainable models suitable for regulated environments. The role demands proficiency in Python, R, SQL, and knowledge of cloud platforms like AWS or Azure, with an emphasis on pragmatic problem-solving and clear communication to stakeholders.