Senior Data Scientist
Senior Data Scientist
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Job Description
Division: System Design
Department: Forecasting
Reference number:12409
Engagement type:Permanent
AEMO at the Heart of Energy
AEMO is Australias independent energy system and market operator and system planner. AEMOs purpose is to ensure safe reliable and affordable energy today and enable the energy transition for the benefit of all Australians. Australian governments are now committed to a net zero economy for Australia by 2050 and our vision is to enable this. We have the once-in-a-lifetime opportunity to co-design the future of our energy systems and our core values revolve around character commitment and connection. Join us as we contribute to this significant transition in the energy sector.
New position - Energy or TNSP background / Python & R essential. Supportive team hybrid working and able to be based in either Brisbane Melbourne Sydney Adelaide or Perth. Excellent culture & benefits. Use a mix of forecasting methods - machine learning predictive modelling and technical approaches for demand forecasting. Publications & reports focus. Advanced degree - Masters or PhD in either Science Machine Learning or Engineering.
AEMOs Forecasting division is responsible for providing medium and long -term forecasts of Australias energy supply and demand. The team is responsible for delivering critical data that underpins many of our major reports including AEMOs Electricity Statement of Opportunities Gas Statement of Opportunities and the Integrated System Plan.
The team provides:
- Regional sub regional and connection point electricity demand forecasts for the National Electricity Market and the Wholesale Energy Market.
- Forecasts of the future uptake and usage of demand side participation and distributed energy resources including electric vehicles.
- Forecasts of uptake and usage of distributed energy resources including rooftop solar and batteries.
- Procurement and coordination of key consultancy deliverables and presentation of these materials to key stakeholders
- Bespoke analysis to support decision making both internal and external to AEMO interpret a large amount of information to understand industry sectors in transition technological and behavioural change and periods of potentially disruptive transformation.
This position can be worked out of any of our office locations Sydney Melbourne Brisbane Adelaide and Perth.
About the role
As a Senior Data Scientist/Data Analyst in Demand Forecasting working in a team of seven youll deliver medium to long-term (130 year) forecasts of electricity and distributed energy resources. Using machine learning (ML) predictive models time series deep neural networks and engineering methods youll produce forecasts at both regional and local levels.
Youll develop key forecasting models interpret data to provide strategic insights apply technical and regulatory expertise and contribute high-quality reports. Youll also enhance AEMOs forecasting of trends like electrification demand flexibility data centre growth (Artificial Intelligence - AI/Large Language Model - LLMs) and evolving consumer patterns.
What you will be doing
- Apply advanced modelling to forecast electricity demand; design test & refine models
- Clearly communicate methods & results to internal teams & external stakeholders
- Collaborate across Forecasting teams on demand multi-sector & reliability modelling
- Coordinate data sharing within AEMO & with partners on electrification & multi-sector impacts
- Represent AEMO in reports working groups & stakeholder forums
- Support a safe workplace through active participation in H&S activities
- Comply with all financial regulatory & HR delegations.
What you will bring to the role
Education
- Advanced Degree: Typically a masters or Ph.D. in computer science data science machine learning electrical engineering or a related field.
- Relevant certifications in machine learning deep learning or data science can be valuable (e.g. DataBricks Certified Machine Learning in Production).
Experience Knowledge and Capabilities
- Experience in forecasting optimization and time series analysis within the energy sector is desirable.
- Proficient in programming languages such as Python R SQL PowerBI.
- Demonstrate familiarity in working with cloud technologies including Azure and DataBricks.
- Well-developed and demonstrated interpersonal negotiation and problem-solving skills including.
- Understanding of the role and functions of AEMO energy consumers and energy sector developments is desirable.
- Understanding of challenges and opportunities faced by AEMO with a rapidly transforming power system particularly in relation to long-term forecasting and including but not limited to multi-sectorial impacts as well as demand analysis and modelling approaches is desirable.
In return some of our benefits to you
- Flexible working: work from home part timejob share hybrid optionsand additional leave options
- Professional development via projects industry networksjob rotation study assistance and more.
- Give back with up to 4 days of volunteering leave per year.
- Reward your hard work with annual performance bonuses (subject to eligibility).
- Embrace a healthier you with our wellness program discounted health insurance gym perks and our comprehensive Employee Assistance Program (EAP).
About Our Process
At AEMO we are committed to creating a diverse and inclusive workforce. We welcome people of all backgrounds including people with disabilities and neurodivergence and those who identify as Aboriginal and/or Torres Strait Islander. If you have any accessibility requirements to support you during the application or interview process simply let us know by emailing us at
Required Experience:
Senior IC
Employment Type
Full Time
