Principal Power Systems Data Scientist

• Legal Entity: AECOM Technical Services Inc
• Business Line:
  Energy
• Work Location Model:
  Hybrid
• Primary
  
  Location:
  
  US - Chicago, IL - 130 East Randolph
• Compensation: USD 130,000 - USD 160,000 - yearly

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AECOM is seeking a Principal Power Systems Data Scientist to support electric utilities, transmission owners, distribution companies, ISOs/RTOs, renewable developers, government agencies, and large energy users across North America. This role focuses on applying advanced analytics, data science, artificial intelligence, machine learning, and power system expertise to solve complex challenges in transmission and distribution planning, grid operations, asset management, reliability, and grid modernization.

The successful candidate will lead the development of innovative, data-driven solutions that help clients address emerging challenges related to load growth forecasting, data center integration, distributed energy resources (DERs), renewable energy expansion, electrification, energy storage, resilience, and infrastructure investment planning.

This individual will serve as both a technical leader and trusted advisor, guiding the application of advanced analytical methods, predictive modeling, optimization techniques, and digital solutions to accelerate system planning and grid modernization efforts. The role requires the ability to communicate complex technical findings to diverse audiences, including utility leadership, regulators, engineers, planners, and non-technical stakeholders, while helping shape AECOM’s growing capabilities in power systems analytics and data science.

The job responsibilities of the position will include but are not limited to:

• Lead the development and application of advanced analytics, machine learning, and artificial intelligence solutions to address transmission and distribution planning challenges.
• Analyze large and complex utility datasets, including load, outage, SCADA, AMI, DER, market, asset, and operational data, to identify trends, risks, and planning opportunities.
• Develop forecasting models for load growth, electrification, distributed energy resources (DERs), electric vehicles, data centers, and other emerging grid impacts.
• Collaborate with planners and engineers to enhance power system studies through data-driven approaches, including reliability, resilience, asset health, capacity, and risk assessments.
• Support large-load and data center integration studies by evaluating growth scenarios, infrastructure requirements, and system impacts.
• Design and implement predictive models, optimization frameworks, and scenario analyses to support long-term transmission and distribution investment planning.
• Develop analytical methodologies to assess the impacts of renewable energy, energy storage, grid modernization initiatives, and evolving…