Data Scientist/Developer for Energy Transition – Hybrid

Blunomy (formerly Enea Consulting); Melbourne; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Offices in Melbourne or Sydney

Company bonus scheme

Weekly team lunch/breakfast

Job summary

Blunomy seeks a passionate Data Scientist/Developer to join Melbourne or Sydney teams. You will blend data science, analysis and software development to transform energy and environmental data into practical tools and solutions.

You will build scalable data pipelines, collaborate with multi-disciplinary teams, and ensure analyses are well-documented and reusable across client projects and Blunomy products.

Qualifications

• Completed degree or postgraduate in a relevant quantitative discipline.
• Passion for energy, environment and sustainable development.
• Strong data-wrangling, statistical thinking and modeling skills.
• Ability to translate analyses into production-ready software.
• Fluent in English with clear communication and collaboration.

Responsibilities

• Understand project questions and define data and analytical requirements.
• Source, clean, transform and analyze energy and environmental datasets.
• Apply statistical, analytical and ML techniques to identify patterns and insights.
• Develop, test and improve forecasting and analytical models.
• Translate methods into Python code and production-ready data pipelines.
• Collaborate with Developers, Managers and subject-matter experts on client solutions.
• Deliver analyses and results with supporting material for client outputs.

Skills

Python

R

Data Analysis

Machine Learning

Statistics

Critical Thinking

Education

Bachelor's or higher in Data Science / Statistics / CS

Tools

Git

Cloud platforms (Azure/GCP/AWS)

Spark

Dask

APIs

Job description

Blunomy seeks a passionate Data Scientist/Developer to join Melbourne or Sydney teams. You will blend data science, analysis and software development to transform energy and environmental data into practical tools and solutions.

You will build scalable data pipelines, collaborate with multi-disciplinary teams, and ensure analyses are well-documented and reusable across client projects and Blunomy products.