About you

As the ideal candidate, you will be passionate about the energy sector, precise, rigorous and an excellent written and verbal communicator. Your academic track record will be in engineering (incl. software or statistics) or you will have relevant experiences in those fields.

The Role

What you will be working on:

Working under the supervision of the project manager, you will contribute to the delivery of data-driven projects across a range of clients, sectors and energy topics. Your work day-to-day will vary depending on the scope and requirements of individual projects and will include, but not be limited to:

• Data collection and data engineering
• Models and algorithms development
• Cloud infrastructure management
• User interface development
• Quantitative and qualitative analysis
• Stakeholder engagement and workshop organisation
• Information synthesis, extracting key insights and developing recommendation

Example projects:

• Load forecasting: model and predict the evolution of the load on the electrical network. This key assignment relies on forecasting the long-term average consumption as well as the daily profiles of different components of the electrical load. The main components are residentials customers, C&I customers, generation (PV, wind) and new technologies (storage, electric vehicles, etc.).
• DER Network Impacts Analysis: model the power quality impact of increased DER penetration and cost-benefit analysis of various mitigation measures
• Bushfire risk modelling: model and compute the risk associated with bushfires started by the distribution network. This includes modelling the probability of bushfire starts, the propagation of the fire and the damages caused.
• Low-Voltage network mapping: identify errors within the current mapping of the low-voltage network, especially targeting customers whom connection to the network has not been properly recorded. This was performed using outlier detection with out-of-bag predictors.

Role requirements:

• Fluency in English (mandatory).
• Strong interest for energy, environment and/or sustainable development.
• Proficient in Python to perform data analysis
• Experienced with Git
• Knowledge of cloud computing (AWS and/or GCP), parallel computing (Dask) is a plus
• Other software engineering and web experiences will be highly regarded
• Excellent oral and written communication skills, synthesis capabilities, respect of time constraints, intellectual honesty, rigour, curiosity, open-mindedness, empathy and team spirit.
• Bachelor or Masters degree in a relevant field (e.g. engineering, data science, software)

Location: Australia

Salary: Depending on experience

Work type: Full Time, starting ASAP

To apply, send us your CV and cover letter !