Blunomy…… from Intention to Impact
Blunomy is an international consulting & data firm, dedicated to accelerating the move towards a regenerative society that is decarbonised, circular and inclusive. We do this by partnering with those in the energy supply chain as well as financial institutions, businesses and entrepreneurs to ensure the transition of their resources from brown to green.
We have been operating since 2007, previously trading as Enea Consulting, and continue to expand our international team of Blunomists. Our high performing, multidisciplinary team are based across 5 offices: Melbourne, Sydney, Singapore, Paris and London. We come from a wide variety of backgrounds and experiences, are open minded and focused on the future, united by shared values and are passionate about sustainable development and energy access.
We are looking for a passionate, engaging, and ambitious Data Scientist/Developer to join our team in either Melbourne or Sydney. We invite all of those who want to break the mould to join us to take it from Intention to Impact!
The Data Scientist / Developer applies their academic training, analytical capability and interest in the organisation and interpretation of data to the development of Blunomy’s data and digital solutions.
The role combines data science, analysis and software development. It is responsible for understanding and working with complex energy and environmental datasets; applying appropriate statistical, analytical and modelling techniques; and translating those methods and insights into reliable, maintainable Python code, data pipelines and digital tools. A key focus of the position is ensuring that development is underpinned by a sound understanding of the data, methodology and analytical problem being addressed, rather than coding in isolation.
Working as part of Blunomy’s Data & Digital team, the Data Scientist / Developer contributes to client projects and Blunomy products, collaborating with Developers, Senior Developers, Managers, consultants and energy-sector specialists to turn data and analysis into practical solutions.
The role is naturally curious about data, enjoys understanding how and why patterns occur, and wants to develop their capability at the intersection of data science, software development and the energy transition.
At Blunomy we are a small team that is flexible and enjoys the diversity of their role and the range of projects that they support. The breadth of the role includes:
Data Analysis & Modelling
Understand project questions and determine the data and analytical requirements needed to address them.
Source, organise, clean, transform and analyse energy, environmental and related datasets.
Apply appropriate statistical, analytical and machine-learning techniques to identify patterns, relationships and insights.
Develop, test and improve analytical and forecasting models.
Assess data quality, completeness and limitations and understand their implications for analysis and model outputs.
Validate analytical approaches and results and clearly document assumptions, methodologies and limitations.
Use critical thinking and subject knowledge to interrogate results rather than relying solely on automated outputs
Development of Data Solutions
Translate analytical methods and models into clean, reliable and maintainable Python code.
Contribute to the development and improvement of Blunomy applications, digital products and client solutions.
Build and maintain data processing workflows, pipelines and APIs that support analytical models and software products.
Integrate data science outputs into production-ready software in collaboration with Developers and Senior Developers.
Develop solutions that are scalable, reproducible and suitable for continued use beyond an individual analysis or project.
Diagnose and resolve data, modelling and coding issues as they arise.
Project Support
Support simple to moderately complex projects and contribute to work packages of complex projects, under the supervision of Managers or Principals.
Prepare analysis and results to assist Managers or Principals in client presentations
Assist in documenting methods, results, and datasets for internal and client use
Contribute to testing, quality assurance, and version control (e.g., Git)
Participate in actions/projects to assist the company in achieving greater efficiency, supervised by a manager or a principal.
Software Development
Work within the team's agreed software-development practices, including source control, branching, pull requests, code review and testing.
Write clear, efficient and appropriately documented code
Participate constructively in peer code reviews and respond to feedback from more experienced Developers and technical leads.
Contribute to improving the maintainability, consistency and reliability of Blunomy's codebase.
Support testing, validation and quality assurance of analytical models and software outputs.
Apply appropriate software engineering principles when moving analytical work from exploration into production environments.
Project Delivery & Problem Solving
Deliver defined analyses, development tasks and project work packages within agreed scope, quality and timelines.
Work with Managers and project leads to determine appropriate methodologies and practical approaches to client problems.
Identify problems, investigate their underlying causes and develop evidence-based solutions.
Prepare analysis, results, visualisations and supporting material for project and client outputs.
Maintain appropriate documentation of datasets, analytical methods, assumptions and development work.
Contribute to the continuous improvement of internal tools, methods and ways of working
Collaboration & Knowledge Sharing
Work collaboratively with Data Scientists, Developers, Senior Developers, Managers, consultants and subject-matter experts.
Participate actively in project discussions, technical reviews and team learning sessions.
Share analytical approaches, coding knowledge, lessons learned and useful techniques with other members of the team.
Contribute technical and methodological input to proposals where appropriate.
Seek technical guidance where appropriate and progressively build independence as experience develops.
Communicate complex analytical or technical concepts clearly to demonstrate Blunomy's professional behaviours and values
