Data Scientist

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 projects under the supervision of 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:

- Load forecasting: 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).
- PV connections approval tool: dynamically model the energy network bringing together power flow modelling and machine learning to determine the PV hosting capacity of the local area. Used in production to approve hundreds of PV connection requests a day.
- Vegetation management using LiDAR: collect three‑dimensional images of the local network gathered by drone or helicopter. Use machine learning and geometric models to detect and manage vegetation near powerlines.
- 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.

**Location**: Melbourne / Sydney CBD

**Salary**: Annually - AUD 70,000 - 105,000

**Work type**: Full Time, starting ASAP

**Job Types**: Full-time, Permanent

Pay: $70,000.00 - $105,000.00 per year

**Benefits**:

- Health insurance

Work Location: Hybrid remote in Melbourne, VIC 3000