Remote Senior Data Scientist, Power Flows & Grid Modeling

GRIDSIGHT; Randwick City Council; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

ESOP

WFH allowance

Health & wellbeing allowance

In-person weeks

Lunch on us

Head office in Sydney

Job summary

Gridsight is building the next generation of grid software, enabling utilities to model and forecast power flows across AC and DC networks. The role focuses on designing and running AC/DC power flow simulations to help operators manage grid constraints and renewables connections with speed and accuracy.

You will work on state estimation, parameter fitting, and real-time optimisation, collaborating with a team to deliver scalable, robust software in a modern data-driven environment.

Qualifications

• Deep experience with AC optimal power flow (AC-OPF) calculations using OpenDSS/pandapower/lf-energy.
• 5+ years in data science/electrical engineering/optimisation with demonstrated impact.
• Proficient in Python for power flow algorithms and data analysis; familiar with software engineering practices.

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 contexts.
• Solve AC OPF problems related to grid operations, resource dispatch and network management.

Skills

Power flow modelling

Python programming

Data science foundations

Statistical modeling

OpenDSS/pandapower/lf-energy

Education

5+ years in data science / electrical engineering / optimisation

Tools

OpenDSS

pandapower

lf-energy

CI/CD

Job description

Gridsight is building the next generation of grid software, enabling utilities to model and forecast power flows across AC and DC networks. The role focuses on designing and running AC/DC power flow simulations to help operators manage grid constraints and renewables connections with speed and accuracy.

You will work on state estimation, parameter fitting, and real-time optimisation, collaborating with a team to deliver scalable, robust software in a modern data-driven environment.