Data Scientist
Perth, Western Australia, Australia
About the Role
We are seeking an experiencedData Scientistwith deep expertise inmachine learning, time-series forecasting, and energy analytics.
You will play a key role in developing and operationalising advanced forecasting models that support grid planning, network operations, DER integration, demand management, and the broader energy transition.
This is an opportunity to work on complex, high-impact modelling challenges that directly shape the future of the energy sector.
Key Responsibilities
Design, develop, test and deployML and time-series forecasting modelsfor load forecasting, DER behaviour, solar PV generation, EV charging patterns, and overall network demand.
Collaborate closely with business stakeholders, grid engineers and operational teams to translate forecasting needs into robust analytical and model requirements.
Work with data engineers to design and optimisedata pipelines, feature stores and model-serving environments.
Evaluate and tune models for accuracy, stability and explainability; build monitoring and alerting frameworks for production models.
Document model design, assumptions, validation results and deployment practices for both technical and non-technical audiences.
Mandatory Professional & Technical Requirements
5+ years of experiencein Data Science or Machine Learning engineering roles.
Strong hands-on experience withtime-series forecastingand predictive modelling.
Expertise inPythonand ML/AI libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Prophet, etc.).
Experience working inDatabricks(preferred).
Demonstrated ability to work with large and complex energy datasets (AMI, DER, SCADA, weather, etc.).
Ability to explain complex model outputs to business users and connect insights to operational decision-making.
Experience deploying ML models in cloud environments such asAzure ML, Databricks, AWS or GCP.
Desirable Skills & Attributes
Background inenergy distribution, grid modelling, utility forecastingor DER integration.
Exposure to optimisation algorithms, probabilistic forecasting and scenario modelling.
Familiarity with distributed data platforms (SQL, Snowflake, DBT, Databricks).
Experience supportingnear-real-time operational forecasting environments.
To be considered for the role click the "apply" button or for more information about this and other opportunities please contact Yash Kumar Jain on ************ or email: and quote the above job reference number.
Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability.
If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.
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