A. About The Role

We are seeking a Demand Forecasting Analyst responsible for developing, maintaining, and enhancing a suite of Python-based forecasting models within an Energy Portfolio Management System. The role focuses on demand, price, renewable, and weather-driven forecasting across multiple time horizons to support trading, planning, and operational decision-making.
Develop, implement, and maintain forecasting models using Python for energy portfolio management applications.
Design and enhance predictive models across multiple forecasting horizons:
Day-Ahead Forecast
Intraday Forecast
Short-Term Load Forecast
Medium-Term Forecast
Long-Term Load Forecast
Annual Forecast
Weekly Forecast
Monthly Load Forecast
Seasonal Load Duration Forecast
Build and optimize specialized forecasting models including:
Renewable Energy Forecast (solar, wind generation)
Weather Forecast integration models
Price Forecast models for energy markets
Frequency Forecast models for grid stability
Forecast Comparison and model benchmarking tools




Other advanced and experimental forecasting models
Work with large-scale time series datasets from energy markets, grid systems, and weather sources.
Develop automated pipelines for data ingestion, feature engineering, model training, validation, and deployment.
Monitor model performance, drift, and accuracy; implement continuous improvements.
Collaborate with energy traders, portfolio managers, and data engineering teams to translate business requirements into analytical solutions.
Ensure scalability, reliability, and efficiency of Python-based forecasting code deployed in production systems.
Document methodologies, assumptions, and model performance metrics clearly.

B. Expectations from the role:
Robust proficiency in Python programming (must be able to design and write production-grade code).
Experience with time series forecasting techniques (ARIMA, SARIMA, LSTM, XGBoost, or similar).
Hand

📌 Analyst Enterprise Saas Mumbai
🏢 Mercados Energy Markets
📍 Mumbai