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AEMO at the Heart of Energy
AEMO is Australia's independent energy system and market operator and system planner. AEMO's purpose is to ensure safe, reliable and affordable energy today, and enable the energy transitionfor 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.
About the role
We're looking for a skilled and motivated Data Science Engineer/Analyst to join our Power System Applications team within the Modelling & Engineering Division. In this role, you'll contribute to the development and enhancement of real-time analytics and machine learning solutions that support the operation and analysis of Australia's electricity grid. You'll work closely with cross-functional teams to improve control room tools, integrate diverse data sources, and build intelligent systems that respond to power system events.
What you will be doing
* Develop and maintain data pipelines and automation scripts to support control room applications.
* Cleanse and transform historical and real-time data for machine learning model training and evaluation.
* Collaborate with cross-functional teams to integrate multiple data sources and build labelled datasets for power system event analysis.
* Contribute to the uplift of alarm management capabilities and other initiatives under the Operations Technology Program.
* Support testing and deployment of applications, as well as creation of synthetic data in the Energy Management System (EMS) software's digital twin simulation environment (DTS).
* Assist in maintaining a knowledge base of ML techniques mapped to Power System use cases and contribute to the internal analytics forums.
* Assist in maintaining commonly shared data structures such as the graph network format of power systems network topology and support the evolution of schemas such as shared Taxonomy and Ontology representations.
* Work closely with senior engineers and technical lead to ensure robust, scalable, and resilient data science solutions.
What you will bring to the role
* Tertiary qualifications in Data Science, Electrical Engineering, Applied Mathematics, or a related field.
* Experience with Python and relevant libraries for data science and machine learning.
* Understanding of electrical power systems and transmission networks (flexible).
* Familiarity with data cleansing, feature engineering, and model evaluation techniques.
* Ability to work with time-series data and correlate events across multiple systems.
* Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
* Exposure to software development practices including version control and automated testing.
In return some of our benefitsto you
* Flexible working: work from home, part time,job share, hybrid options,and additional leave options
* Professional development via projects, industry networks,job 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
Follow this link to submit your application: Career Opportunities: Data Scientist (12415)
AEMO values diversity and inclusivity in the workplace, welcoming applications from all backgrounds without regard to age, disability, gender, sexual orientation, parental status, race, religion and our First Nation peoples. We are dedicated to accommodating applicants' needs during the application or interview process, simply let us know by
For more information on the Australian Energy Market Operator (AEMO) please refer to visit one of our social media channels below.
Apply here Career Opportunities: Data Scientist (12415) (
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Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Utilities
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