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Gridsight

AI-powered utility grid capacity management

Senior/Staff Data Scientist - Power Flows

Power Systems EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • Deep experience with AC optimal power flow calculations, including use of open-source packages such as OpenDSS, pandapower, and/or lf-energy.
  • Experience with state or parameter estimation for energy networks, or fitting high-dimensional parametric statistical models.
  • Foundational knowledge of statistical modelling, numerical programming, algorithm design, and data analysis.
  • At least 5 years of experience in data science, electrical engineering, or optimisation roles, with demonstrated impact.
  • Ability to write quality Python code for power flow algorithms and data analysis; familiarity with architectural principles, system design, version control, testing practices, code review, and continuous integration/continuous delivery.

Responsibilities

  • Implement, adapt, or develop AC and DC power flow engines for grid modelling and forecasting.
  • Build scalable power flow modelling software for real-time or near-real-time operational contexts.
  • Solve AC optimal power flow problems related to grid operations, resource dispatch, and network management.
  • Run, tune, and debug balanced and unbalanced load flows.
  • Develop and run software for state and network parameter estimation, including impedances, phasing, and customer-to-transformer mapping.
  • Collaborate with the grid modelling team to formulate network models and constraints as optimisation problems.
  • Establish best practices for power flow development, validation, and monitoring.
  • Contribute to technical strategy for data science, optimisation, and modelling capabilities, and future applications.

Desired Qualifications

  • Grid domain knowledge, including electrical networks, power systems, and operational constraints.
  • Experience tuning, debugging, and reconciling power flow outputs with real-world observations such as SCADA and/or smart meter data.
  • Experience with real-time or near-real-time optimisation systems.
  • Understanding of distributed energy resource integration challenges and battery/virtual power plant operations.
  • Experience in load forecasting.
  • Ability to work with customers to incorporate their existing forecasts into calculations.
  • Software engineering depth in system design, testing, deployment, and MLOps.
  • Familiarity with Databricks.
  • Familiarity with cleaning and exploring SCADA and/or smart meter data.

About the Company

Gridsight

AI-powered utility grid capacity management

Gridsight is an AI-powered capacity-management platform for electric utilities that converts fragmented network data into a Foundational Grid Model tailored to each utility, so operators can identify where latent capacity exists and connect new load without building new infrastructure. It blends electrical physics with AI agents to support real-time hosting capacity, solar export management, and distribution planning. Unlike generic grid software, Gridsight delivers a utility-specific model that directly informs where and when to add capacity, enabling dynamic control over rooftop solar exports and faster planning. Its customers include Endeavour Energy, Xcel Energy, and United Illuminating. The company aims to expand its US footprint while continuing growth in Australia and other markets, supported by fundraising to accelerate expansion.

Company size
51-200
Company stage
Series B
Total funding
$28.2M
Headquarters
Wollongong City Council, Australia
Founded
2020

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