Key Responsibilities Design, develop, and maintain workforce forecasting models using machine learning, statistical modeling, and time-series forecasting methods. Build forecasting models using Python and relevant techniques such as XGBoost, Prophet, ARIMA, regression models, random forest, and other applicable
The Commodities Content team collects, manages, and supplies content of various asset classes like Metals, Oils, Agriculture, Power, Gas, Coal & Carbon. In this role, the individual partners with Operations and Technology teams to design data‑driven
A modern digital bank is seeking a Risk Data Science Manager to develop and oversee risk models and machine learning algorithms that will drive strategic business initiatives. Responsibilities: Build databases, conduct exploratory data analysis, design sampling methods, and