About us
Globally, energy markets are in transition to a net zero future and the entities within these markets are transforming their underlying business models to ensure that they stay relevant, sustainable and profitable.
As one of Australia's largest energy providers, we are proud of our purpose to lead and accelerate the clean energy transformation for all.
The Team
The Pricing, Analysis & Systems team within the Trading & Transition business unit is responsible for managing, enhancing, and extending EnergyAustralia's electricity and gas wholesale market analyses, forecasting and modelling capabilities to ensure that planning, trading, strategy, and policy decisions are informed by an in depth understanding of and insight into market drivers and directions.
About the Role
Embedded within the Pricing, Analysis & Systems team, you would be part of the team driving delivery of key operational metrics such usage forecasts, customer numbers and gas & electricity loads.
As an Energy Forecasting – Data Scientist, your insights will empower Trading & Transition to optimise their strategies and maximise value, making a real impact on our company's success.
Some of your key responsibilities will include:
Design and test advanced forecasting models for gas and electricity demands, using techniques such as machine learning models and linear regression.
Deliver gas and electricity load forecasts, in accordance with the approved processes in place.
Run simulations and back-testing of forecasts using historical weather data.
Provide forward-looking insights into the future direction of the business.
Understand and communicate the drivers to changing demand characteristics of each customer group.
Effectively manage internal relationships with the Customer and Trading & Transition business units' analytical teams and functions.
About you
Tertiary qualifications in a quantitative discipline (mathematics, statistics, data science, engineering or actuarial studies).
Postgraduate qualifications or a Masters degree in a relevant field is highly desirable.
Experience in time series forecasting and strong analytical and modelling capabilities.
Experience in handling large data sets across disparate data sources.
Experience using programming languages/environments such as SQL, R, and Python in cloud technologies (Databricks) and experience with reporting and visualisation tools (e.g.
Tableau, Power BI).
If you share our passion for a clean energy future for all and want to join us #Doing.
Not just dreaming, then click the 'Apply' button.
Why Us?
We're committed to providing an inclusive culture so our people can bring their whole selves to work and have a sense of belonging.
From our PRISM network that creates a positive culture for LGBTI employees to our Reconciliation Action Plan that has commitments to strengthen relationships with Aboriginal and Torres Strait Islander people and organisations, it's a workplace where everyone's welcome.
We offer:
Employee discount on your electricity and gas, discounts on major brands and products.
Annual Performance Bonus.
20 weeks' paid parental leave that's completely gender-equal.
Energise Program - flexible working that is team centric enabling all individuals to agree and succeed together.
Excellent company culture, down-to-earth and friendly organisation - be authentic, bring your whole self to work!
2 paid recharge days.
State-of-the-art Melbourne office, stunning views only 3-4 minute walk from Southern Cross station.
Inhouse Café and Onsite Tech Bar.
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