Tech Stack

Description

You will develop data-driven models for forecasting, optimization, and operational insights, working with large-scale sensor and operational datasets to drive zero-carbon electricity production. Collaborate with a team to build and validate ML models, create scalable pipelines, and ensure production-ready solutions.

Requirements

• 5+ years of experience in data science
• Strong Python skills and experience with core DS/ML libraries
• Experience with time-series analysis and predictive modeling
• Hands-on experience in anomaly detection
• Ability to build optimization models

Responsibilities

• Develop data-driven models for forecasting, optimization, and operational insights
• Analyze large-scale sensor, process, and operational datasets for trends and risks
• Build and validate ML models for prediction, anomaly detection, and risk assessment
• Create scalable data-science pipelines and collaborate with the team
• Ensure models are production-ready, monitored, and continuously improved