Senior/Staff Data Scientist (Grid Modelling) at GRIDSIGHT

Wollongong City Council, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

220000.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Modelling, Experimental Design, Model Validation, Feature Engineering, Machine Learning, Electrical Distribution Networks, Power Systems, Grid Physics, Python, AC/DC Optimal Powerflow, Physics-Informed ML, Optimisation, GIS, Network Topology, Utility Systems

Industry

Utilities

Description

The Role We're hiring a Senior or Staff-level Data Scientist to develop the core network modelling capabilities that power our grid analytics platform. You'll build physics-based and AI-driven models that help utilities understand how their networks behave under real-world conditions — and what happens as load patterns shift and distributed energy resources proliferate. This work underpins everything from constraint identification to DER impact analysis. This is a hands-on technical role. You'll design and implement models, validate them against messy real-world data, and work closely with power systems engineers and software engineers to get them into production. What You'll Do Design and implement generalised powerflow models that work reliably across diverse network topologies, voltage levels, and data quality scenarios Develop and evaluate advanced modelling techniques — linearised approximations, physics-informed neural networks, graph neural networks, hybrid approaches, and optimal powerflow Collaborate with experienced power engineers to ensure models are grounded in grid physics and operational reality Work with talented software engineers to productionise models and integrate them into the platform Contribute to technical strategy and help establish best practices for model development, validation, and maintenance What You'll Bring Strong data science foundations: statistical modelling, experimental design, model validation, feature engineering, ML techniques Deep understanding of electrical distribution networks, power systems, and grid physics — whether from utilities, VPPs, grid tech, or the broader energy sector 5+ years in data science or ML roles, with demonstrated impact at a senior or staff level Python proficiency and the ability to write quality code for analysis and modelling What Would Set You Apart Hands-on experience with AC/DC optimal powerflow, physics-informed ML, or similar grid modelling techniques Optimisation expertise (constrained optimisation, OPF) Software engineering depth — system design, testing, deployment, MLOps GIS and network topology experience Familiarity with Australian or US grid standards and operational practices Utility systems experience (SCADA, DMS, etc.) What We Offer $160k–$220k depending on experience, plus equity Remote-first, with head office in Sydney A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter Sound Interesting? We'd love to hear from you! Apply directly and we'll be in touch shortly.

Responsibilities

Develop core network modelling capabilities for a grid analytics platform. Design and implement models to analyze how utility networks behave under various conditions.