Data Scientist

Buildings Alive is an internationally recognised leader in decarbonisation of the built environment. We work to limit climate change by making energy use in buildings efficient, flexible, and electric. For over ten years, our technology and services have been accelerating the clean energy transition. We are a Certified B Corp, and our small, friendly, and collaborative team is known for creativity and innovation.

Visit our website to find out more : https : / / www.buildingsalive.com

Why is this role exciting?

Data science is core business for Buildings Alive. We invest almost 50% of our financial and human resources in the development of technologies to drive clean energy outcomes from the built environment, most of them involving sophisticated data science and machine learning. Examples of recent work include technology to support grid-interactive efficient buildings and AI tools that identify performance anomalies that can save time, cut costs, and cut carbon emissions.

We are fortunate in being able to access fine-grained time-series and event data, gathered over many years from hundreds of large complex buildings around the world, and we actively work with hundreds of buildings day-to-day. We have a streamlined creative process (idea-develop-deploy-review-refine) and a preference for ‘action-research’ that leverages our opportunities to continually iterate. We work with the latest infrastructure and our stack is fully up to date.

Your Role and Impact

This key role is all about creating and contributing to new industry-leading technology and service innovations that can help sophisticated building operators activate and coordinate distributed energy resources (DER). This ‘demand side’ engagement is essential for decarbonising the global economy. Specific role accountabilities are reviewed quarterly to ensure they’re addressing the priorities that emerge from our collaborations with customers and research partners. Examples include :

• Improving our core modelling and forecasting algorithms and making them more robust
• Applying statistical / machine learning techniques to build new data products. tools and features, and support business development
• Developing fine-grained anomaly detection and diagnostics tools, including application of reinforcement learning
• Mentoring and advising PhD candidates in collaboration with our research partners
• Writing research papers and reports and presenting research at forums and conferences
• Providing technical and operational support to our customer engagement team on the application and use of modelling
• Providing support to our development team, including testing results, bug fix, and proposing algorithm changes.

Desired Skills and Experience

You will need to be curious, creative and energetic to succeed in this role. It is essential that you’re able to work productively with minimal supervision, facilitate collaboration and be a person that people from all walks of life want to work with. Ideally, you will have a background that also includes a range of the following :

In addition, you will likely have post-graduate tertiary qualifications in mathematics, statistics or relevant scientific or engineering disciplines.

We are looking for a team player who will add to our creative and supportive culture and be excited by the opportunity to make a meaningful impact on the built environment to address climate change.

Benefits and Perks

Buildings Alive offers a highly flexible, friendly and collaborative hybrid work environment with an extensive list of generous benefits including an employee share ownership scheme and quarterly revenue growth distribution ‘bonus’ scheme.

We embrace diversity, equity, and inclusion.

While the role will be based in Sydney CBD, we encourage remote applicants and actively support flexible working arrangements.

It is a full-time position (though part-time will be considered) and a highly competitive annual salary package commensurate with skills and experience will be offered.

How to apply

If you feel like this might be the ideal role for you, please send a brief and concise email to [email protected] telling us : 1) why this job interests you, 2) the two most valuable traits you can bring to the role, and 3) something that inspires you.

Only applications addressing the above requirements will be considered in the first instance. Recruiters, please do not call or email us.

Seniority level

Seniority level

Entry level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Referrals increase your chances of interviewing at Buildings Alive by 2x

Get notified about new Data Scientist jobs in Sydney, New South Wales, Australia .

Sydney, New South Wales, Australia 6 days ago

St Leonards, New South Wales, Australia 1 week ago

Sydney, New South Wales, Australia 3 weeks ago

Minchinbury, New South Wales, Australia 4 hours ago

Applied Scientist - Autonomous AI agents

Sydney, New South Wales, Australia 3 weeks ago

Sydney, New South Wales, Australia $130,000.00-$140,000.00 2 weeks ago

Sydney, New South Wales, Australia 3 months ago

Sydney, New South Wales, Australia 12 hours ago

Sydney, New South Wales, Australia 2 months ago

Data Scientist - QuantumBlack, AI by McKinsey

Machine Learning Engineer, 2026 Graduate Australia & New Zealand

Sydney, New South Wales, Australia 2 weeks ago

Senior Data Scientist | Sydney |Full-Time

Sydney, New South Wales, Australia 16 hours ago

Sydney, New South Wales, Australia 2 months ago

Sydney, New South Wales, Australia 4 days ago

Machine Learning Engineer, 2025 / 2026 Intern Australia & New Zealand

Sydney, New South Wales, Australia 2 days ago

Sydney, New South Wales, Australia 6 days ago

Sydney, New South Wales, Australia 12 hours ago

Sydney, New South Wales, Australia A$170,000.00-A$180,000.00 2 weeks ago

Sydney, New South Wales, Australia 2 weeks ago

Sydney, New South Wales, Australia A$108,557.00-A$108,557.00 6 days ago

Sydney, New South Wales, Australia 1 day ago

Staff Data Scientist - Marketing Research & Data, remote across ANZ

Sydney, New South Wales, Australia 8 hours ago

Sydney, New South Wales, Australia 5 days ago

Sydney, New South Wales, Australia A$100,000.00-A$150,000.00 1 month ago

Sydney, New South Wales, Australia 2 weeks ago

Sydney, New South Wales, Australia 5 days ago

Sydney, New South Wales, Australia 3 days ago

Sydney, New South Wales, Australia 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

J-18808-Ljbffr