Data Scientist

Enemix

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profile Job Location:

Sydney - Australia

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Job Description

Data Scientist - Renewable Energy

Sydney Australia

Enemix has partnered with an exciting cutting edge international Energy Technology business with offices across Australia the UK and Europe. Theyve had great success in Australia theyre quickly becoming a leading name in the Energy transition sector. 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 experience Data Scientists 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 our data science team focusing on creating reliable revenue projections across various regions.

Responsibilities:

  • Source process analyse and interpret large and complex datasets within our expanding forecast offering.
  • Develop our power market and dispatch models to enhance their product offerings. Utilise Python and the standard scientific computing stack (Numpy Pandas SciPy ScikitLearn etc.).
  • Collaborate closely with product and analytics teams to ensure the products they deliver align with user needs and add value to the broader team.
  • Focus on creating reliable revenue projections across various regions.
  • Finance build benchmark and operate complex projects across the innovative Energy Systems.

Qualifications:

  • Previous experience 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.
  • Strong quantitative skills with a proven track record of solving complex technical problems using data analysis machine learning and optimization techniques.
  • 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 5 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 youre interested in hearing about the role please apply or send your CV to


Required Experience:

IC

Job DescriptionData Scientist - Renewable EnergySydney AustraliaEnemix has partnered with an exciting cutting edge international Energy Technology business with offices across Australia the UK and Europe. Theyve had great success in Australia theyre quickly becoming a leading name in the Energy tran...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills