Lead Data Scientist – Energy Domain
Core
Lead a team to build and deploy advanced statistical and machine learning models for energy system planning, forecasting, and strategic decision-making.
Role type
Senior IC Lead Data Scientist (Energy Domain)
Builds
Production ML models and analytical algorithms for energy planning and forecasting
Domain
Energy sector / Utilities / Infrastructure
Deliverable
production ML models
Required skills
Python, time series modelling, forecasting, statistical modelling, machine learning, feature engineering, model validation, MLOps, Git, Azure ML, Databricks
Preferred skills
Geospatial data, Agentic/Gen AI, energy system modelling, grid analytics, distributed computing (Spark/PySpark)
Technologies
Python, Azure ML, Databricks, Git, Spark, PySpark
Responsibilities
Lead design and development of advanced statistical and ML models; mentor junior data scientists; manage stakeholder relationships; ensure MLOps processes and model governance; conduct code reviews; collaborate with cross-functional teams.
Seniority
Senior, hands-on IC with team leadership