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Energy Data Scientist

Also known as: Energy Analytics Specialist, Power Systems Data Scientist, Utility Data Scientist, Energy AI Engineer

AI Impact Score

15/100

Energy data scientists are the builders of AI in the energy sector — they create the models that optimize grids, predict equipment failures, and forecast demand. As AI adoption accelerates across utilities and energy companies, these roles are among the fastest-growing and best-compensated in the sector.

$85k – $155k

Salary Range

booming

Growth Outlook

18,000

Total Jobs (US)

+22%

Growth Rate

Task Breakdown

Tasks at Risk (2)

Manual data cleaning and basic statistical reportingStandard visualization from pre-built dashboards

AI-Enhanced Tasks (4)

Automated ML pipeline development for energy forecastingAI-assisted anomaly detection in grid sensor dataLLM-powered energy system documentationGenerative AI for synthetic training data creation

Human-Safe Tasks (4)

Designing novel energy optimization modelsInterpreting model results for operational decisionsCross-disciplinary collaboration with engineers and regulatorsEnsuring model safety and reliability for critical infrastructure

Current Skills

Python (pandas, scikit-learn, TensorFlow)Time Series AnalysisSQL and Data EngineeringStatistical ModelingEnergy Systems Fundamentals

Future-Proof Skills

Deep Learning for Energy Forecasting (LSTM, Transformer)Graph Neural Networks for Grid TopologyMLOps and Model DeploymentDigital Twin IntegrationLLM Application Development for Energy Workflows