Analyst- Enterprise SaaS (Mumbai)

Analyst- Enterprise SaaS (Mumbai)

13 Aug
|
Mercados Energy Markets
|
Mumbai

13 Aug

Mercados Energy Markets

Mumbai

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

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