Data Scientist / Data Analyst

Blunomy Australia

Blunomy Australia is at the forefront of energy transformation, focusing on digitisation, decentralisation, and decarbonisation within the industry. Their expanding team seeks to develop data science products to improve energy markets globally. The role involves working on diverse projects under project managers, offering a view into the dynamic energy challenges being addressed through data science.

In this role you can expect to have the responsibilities:

• Develop and deliver data science solutions to support the energy transition
• Utilize machine learning for load forecasting and energy consumption predictions
• Create models for PV connections approval and network-related bushfire risk assessment
• Engage in low-voltage network mapping and vegetation management using LiDAR

This role comes with the following benefits:

• Attractive salary packages
• Company bonus scheme
• Hybrid working environment
• Global team participation
• Learning and development opportunities
• Weekly team lunch/breakfast
• Health and wellbeing platform access

This role requires you to have:

• Passion for energy transition and climate change
• Undergraduate or postgraduate degree in Computing Science, Statistics, Maths, or Engineering
• 1-3 years of experience in data science or software development
• Proficiency in Python or R
• Fluent communication skills in English

You would benefit from having:

• Experience with machine learning concepts and algorithms
• Knowledge of cloud computing services like Azure, GCP, or AWS
• Experience with source control, such as Git
• Parallel computing familiarity, such as Spark or Dask

Candidates must be either Australian citizens or possess working rights in Australia. Work location is hybrid remote based in Melbourne or Sydney.