Data Scientist (Energy)

Enemix has partnered with an exciting cutting edge Energy Technology business that has had great success and the UK, Europe, and Australia. They are quickly becoming a leading name in the Energy transition sector, and their mission is to create the definitive information framework for the energy transition, fostering a great team to do it together.

Given the technologies and services they offer, they are looking for an experienced Data Scientist with an Energy or Power Systems background to join the Sydney team. It is crucial that you have a desire to grow and learn, be a part of a rapidly growing company, and have an appetite to work in an exciting start-up environment.

The Role

As a Data Scientist you will be part of an established team that leverages their expertise to develop innovative, industry-leading models and analyses. They create tools used by organisations across the energy transition to finance, build, benchmark, and operate complex Energy systems. This position is within the data science team, focusing on creating reliable revenue projections across various regions.

Responsibilities:

• Source, process, analyse, and interpret large and complex datasets within their expanding forecast offering.
• Develop the power market and dispatch models to enhance their product offerings. You will utilise Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
• Collaborate closely with wider teams in Australian and international offices.
• Focus on creating reliable revenue projections across various regions.
• Finance, build, benchmark, and operate complex projects across the innovative Energy Systems.

Qualifications:

• Previous experience as a Data Scientist in energy modelling, particularly focusing on the Australian power systems.
• A degree in a quantitative field such as mathematics, engineering, computer science, physics, or a related discipline.
• Demonstrated ability to produce data science models and insights delivered directly to external customers, with experience handling high-visibility, customer-facing outputs.
• Excellent technical communication skills, capable of explaining complex data science concepts to non-technical stakeholders.
• Over 2+ years of experience using Python (or another programming language such as R, C++, Java) and the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).

If you're interested in hearing about the role please apply or send your CV to [email protected]