Job description

Data analytics in the energy and climate space is growing at an incredible rate. Blunomy is growing the team to support the energy industry through its digitisation, decentralisation and decarbonisation transition and to support operability and planning in Australia and around the world.

We are looking for someone passionate about energy and data analytics to do-well-and-do-good by delivering data science products to better the energy market. As an analyst, you will work on software products / projects under the supervision of product managers / project managers. In this setting, you will be exposed to the diversity of current energy challenges, leveraging your data and analytical skills to address them.

Example projects

We are always growing the products we deliver but over the last 12 months we have delivered:

Vision - Forecasting and Planning: model and predict the evolution of the load on the electrical network. Use machine learning, data analytics and a fair amount of software development to forecast long-term energy consumption, daily energy profiles and Distributed Energy Resources (Electric Vehicles, Battery, Solar PV).
Vision connection approval automation: dynamically model the energy network bringing together power flow modelling and machine learning to determine the DER hosting capacity of the local area. Used in production to approve hundreds of DER connection requests a day.
Bushfire risk modelling: model and compute the network‑related bushfire risk based on fault ignition likelihood. Calculate the consequences of bushfires such as property damage or agricultural loss.
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.

Depending on the objectives, projects will entail tasks of varying nature. Your first focus will be on projects requiring data analytics capabilities.

Why work for Blunomy?

You will be joining a passionate group of professionals, aligned in our mission to move towards a decarbonised, circular and inclusive economy. As we are currently in a stage of significant growth, you will be much more than a ‘cog in the machine’, with the ability to make a real and lasting impact across the business. We are focused on finding the right people to journey with us, and to those who do, we offer:

Attractive salary packages
Ability to participate in the company bonus scheme
Hybrid working environment, based in either Melbourne or Sydney
Ability to be part of a global team
Ongoing learning and development opportunities
Weekly team lunch/breakfast
Access to our health and wellbeing platform, Moka Care

Preferred experience

About you

We are looking for a motivated and talented person. The right person will have some of the following and a willingness and ability to learn the rest:

You are passionate about the energy transition and climate change, with a strong interest for energy, environment and/or sustainable development
An undergraduate degree or a postgraduate in a relevant discipline such Computing Science, Statistics, Maths or Engineering
1-3 years experience in data science or software development will be highly regarded.
Knowledge of statistical and machine learning concepts and algorithms
Experience with the data science tool kit:
- Python or R
- Source control (such as Git)
- software engineering and app development skills
- Knowledge of cloud computing (such as Azure, GCP, AWS)
- parallel computing (such as Spark or Dask) is a plus
Consultant tool kit:
- good oral and written communication
- client engagement skills
- an ability to work to project timelines
Languages: Fluency in English is mandatory.
To be eligible to apply for this position, candidates must be either an Australian citizen or have working rights in Australia.

Location: Melbourne / Sydney CBD

Salary: Depending on experience

Work type: Full Time, starting ASAP

Recruitment process

Phone screen
90 minute online test, testing basic data analytic skills, as well as critical thinking, numerical reasoning etc.
Behavioural based interview
Take home technical case study
3rd interview if required

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