Full job description

Our company

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

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:

• data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr)
• proficiency in machine learning frameworks (e.g., scikit-learn, TensorFlow)
• SQL skills and experience querying relational databases
• some experience working with big data technologies (e.g., Spark, Hadoop)
• proficiency with data visualisation tools (e.g., Plotly)
• familiarity with cloud platforms such as AWS, GCP, or Azure (e.g., S3, Lambda, SageMaker)
• experience working with version control tools (e.g., Git)
• hands-on experience from an industrial or academic research team or environment.

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 and a 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 careers@buildingsalive.com 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.

Pay: $80,000.00 – $90,000.00 per year

Work Location: Hybrid remote in Sydney NSW

 

Full job description

Company Description

Forward with Cuscal

Ever tapped your phone to buy a morning coffee or made a purchase from your favourite online store? Chances are, we've made it happen.

At Cuscal, we've been at the forefront of payments innovation for nearly 60 years, enabling seamless, secure solutions that millions of Australians rely on every day. From launching Australia's first ATM to helping shape the future of digital payments, we continue to transform the way money moves.

Job Description

Your Opportunity

As a Senior Data Scientist, you will support the data science function within the Financial Crimes Domain. You will leverage large and complex data sets to uncover insights, build predictive models and influence strategic decision-making across the business. You will also play a key role in driving data science best practices, mentoring team members and advancing the organisation's fraud detection and prevention capabilities.

You'll make an impact in this role by:

• Leading the development of advanced analytics, machine learning models and fraud detection strategies to identify and mitigate emerging fraud risks.
• Driving the end-to-end machine learning lifecycle, including feature engineering, model deployment, monitoring, retraining and governance to ensure scalable, reliable and well-managed production outcomes.
• Working with large, complex and diverse datasets to uncover patterns, validate hypotheses and generate actionable insights.
• Translating complex analytical findings into practical recommendations that improve products, processes and business outcomes.
• Driving best practice across data science, experimentation, machine learning, MLOps and analytics frameworks.
• Evaluating emerging technologies, tools and methodologies to enhance fraud detection effectiveness and operational efficiency.
• Partnering with cross-functional stakeholders including Product, Technology, Risk, Fraud Operations and Engineering teams to deliver data-driven solutions.
• Mentoring, coaching and providing technical guidance to junior and intermediate Data Scientists, fostering capability uplift and professional development across the team.

Qualifications

What you'll bring

To be successful in this role, you will bring a combination of the following skills, experience and capabilities:

• Extensive experience developing and deploying machine learning, artificial intelligence, statistical modelling and advanced analytics solutions to solve complex business problems and deliver measurable outcomes.
• Experience working within Financial Services, payments, acquiring, digital banking, financial crime, fraud risk management or real-time payments environments.
• Advanced programming skills in Python and SQL, with experience developing scalable data science and machine learning solutions.
• Proven experience designing, developing, validating and optimising machine learning models across the full model development lifecycle.
• Hands-on experience with Databricks or similar cloud-based data science and machine learning platforms, including model development, data engineering workflows and productionisation of machine learning solutions.
• Strong understanding of MLOps principles and practices, including CI/CD pipelines, automated testing, model deployment, model monitoring, performance tracking, retraining and governance.
• Experience working with cloud-based data, analytics and machine learning ecosystems and delivering production-grade AI and ML solutions.
• Experience working with large, complex and diverse structured and unstructured datasets to identify fraud trends, risks and opportunities.
• Strong stakeholder engagement and communication skills, with the ability to translate complex analytical concepts and model outputs into business outcomes
• Demonstrated experience mentoring and developing junior Data Scientists.

Additional Information

Why Cuscal?

At Cuscal, you’ll experience interesting work that’s transforming. You get the security of an established organisation and the energy of a company committed to innovation. For 60 years, we’ve set the standard in payments, and now we’re preparing to redefine it for the future.

You’ll also enjoy a range of benefits, including:

• Recognition and growth: Celebrate achievements through IGNITE and grow with tailored development opportunities
• Wellbeing focus: We support your physical, mental and financial health with holistic initiatives and access to discounts via Cuscal Advantage
• Diversity and inclusion: Join a workplace that values different perspectives and flexible work arrangements

If you’re excited about this opportunity, we’d love to explore how you can contribute to our vision. Applications may be reviewed as they’re received, so don’t wait - apply now.

Cuscal is an equal opportunity employer committed to creating a diverse, inclusive and barrier-free workplace. We welcome applications from Aboriginal and Torres Strait Islander peoples, people living with disability, LGBTQIA+ communities and individuals from culturally diverse backgrounds.

• Note: Cuscal does not accept unsolicited resumes from recruitment agencies or search firms.