Peter Schow

Applied AI Scientist building decision systems under uncertainty using machine learning, stochastic modeling, and large-scale data pipelines.

Experience deploying AI systems across financial, geospatial, and optimization domains, with a focus on translating models into real-world pricing, risk, and resource allocation decisions.

Data Scientist III - S&P Global

(2021-09)

• Built and deployed AI-driven pricing and forecasting systems, integrating demand signals, incentives, and market dynamics
• Developed dynamic pricing engine for automotive incentives, modeling demand response to optimize revenue and inventory
• Translated model outputs into actionable pricing and strategy decisions across cross-functional teams

Data Analyst - Argus Information & Advisory Services

(2020-03 - 2021-09)

• Analyzed large-scale consumer financial datasets (SQL-based) to uncover spending patterns and inform credit and risk strategies for major banking clients
• Delivered client-facing presentations translating complex analyses into clear strategic recommendations, increasing engagement and follow-on work

M.S. - Data Science - Johns Hopkins University

B.A. - Statistics - Colby College