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Predictive Forecaster

3 weeks ago

Perth, Western Australia beBeeForecasting Full time $120,000 - $135,000
Role Overview

A critical division within AEMO plays a pivotal role in real-time electricity system operations across Australia.

The division is responsible for delivering high-quality data, systems, training, assessment and operational planning advice to support AEMO's control rooms.

Within this division, the Operational Forecasting team is responsible for short-term forecasts that feed into key operational and market systems in the National Electricity Market (NEM) and Wholesale Electricity Market (WEM).

These forecasts are essential for supporting network outage planning, reliability assessments and real-time operational decision-making across the short-term horizon.

This team is recognised globally for its leadership in short-term forecasting practices.

The team seeks to expand its capability to keep up with the complexity of forecasting an increasingly weather-dependent power system.

Key Responsibilities:

  • Manage operational forecasting models for electricity demand, rooftop PV, grid-scale solar farms and wind farms. This includes developing forecast models by updating inputs, parameters and variables to reflect system changes and improve performance.
  • Collaborate closely with AEMO's weather providers and control rooms to translate weather risks into system impacts and ensure operators have the necessary information.
  • Coordinate across teams and markets to align tools, data and forecasting processes between the NEM and WEM.
  • Contribute energy and weather information and insights into operational advisories, power system incident reviews and market reports to support secure and reliable power system operations.
  • Support upgrades of forecasting applications, reform deliveries and digital enhancements to improve the performance and reliability of forecasting systems and processes.

Requirements

  • Tertiary qualifications in science, engineering, mathematics, meteorology or a related statistical discipline.
  • Experience in the energy sector or similar industry, preferably in an operations, forecasting or analytical role.
  • Clear and confident communication skills, both written and verbal, including experience preparing high-quality reports and presentations to communicate technical information to a broad range of internal and external stakeholders.
  • Working knowledge of data analysis and statistical modelling techniques, including PowerBI, Databricks, SQL and Excel.
  • Ability to work collaboratively in a team environment and work across multiple projects.

What We Offer

  • Flexible working arrangements, including work from home, part time, job share and hybrid options.
  • Professional development opportunities via projects, industry networks, job rotation, study assistance and more.
  • Opportunities to give back with up to 4 days of volunteering leave per year.
  • Recognition of hard work with annual performance bonuses (subject to eligibility).
  • Emphasis on employee well-being through our wellness program, discounted health insurance, gym perks and comprehensive Employee Assistance Program (EAP).

Our Culture

We are committed to creating a diverse and inclusive workforce, welcoming people of all backgrounds, including those with disabilities and neurodivergence and those who identify as Aboriginal and/or Torres Strait Islander.