Join Intellisense.io to build the future of Scientific Intelligence
Are you curious, collaborative, and excited by solving complex problems?
We're looking for an accomplished Data Scientist who thrives on intellectual challenge, enjoys working with a diverse team, and wants to use their skills to make a meaningful impact. If you love data, science, and technology, and value inclusion and empathy in your work setting, we want to hear from you.
What You'll Do
You'll take mathematical and empirical formulations and turn them into high-quality, tested, and scalable Python software. You will focus on software architecture, code quality, unit testing, and maintainability, ensuring our modeling codebase is robust and ready for customer deployments. Whether you come from academia, industry, or a different path altogether, we value the unique perspective you bring.
You'll:
Design, implement, and maintain robust production‐grade Python software for mathematical and physical models
Set and uphold code review guidelines, test coverage policies, and architecture standards
Refactor and optimize existing scientific codebases to reduce technical debt
Integrate models into scalable data pipelines and collaborate with the wider software engineering team
Work alongside domain experts to translate empirical concepts and algorithms into modular, reusable software
Identify bugs, performance bottlenecks, and areas for systemic improvement across model deployments
Mentor team members on software engineering best practices within a data science context
About You
We're not looking for "perfect" candidates, we're looking for authentic, driven, and adaptable people. If you don't meet every requirement, but believe you'd thrive in this role, please apply.




You might be someone who:
Has formal training or a higher degree in Computer Science, Computational Engineering, Physics, or Applied Math
Is passionate about writing clean, maintainable, and well‐tested code
Enjoys bridging the gap between science and software, communicating effectively between software engineers and scientists
Has experience with production Python engineering (OOP/functional, modular architecture, unit testing with pytest)
Shows curiosity and an inquisitive approach to technical problem‐solving and architecture design
Appreciates friendly and empathic communication in a fast‐moving, diverse, and distributed team
Is excited to build the underlying software for physical/empirical models, configurable optimizers, and machine learning inference engines
We welcome applications from both mid‐level and senior professionals; however, due to the complexity of the role, it may not be suitable for recent graduates, as the successful candidate will be expected to solve complex problems independently and liaise directly with clients when appropriate.
Tools & Techniques We Use
You don't need to know all of these, but you'll have a chance to learn and work with:
Production Python engineering & scientific stack (Git, pytest, CI pipelines)
Translating mathematical or physical algorithms into structured, reusable software
Operational technology or industrial data
DevOps & Infrastructure tools (Docker, Kubernetes, CI/CD pipelines, package management)
Distributed systems or web services
What We Offer
A truly inclusive, supportive team culture
Flexible working hours and remote‐first environment
Competitive salary with performance‐based growth
A chance to work on meaningful, impactful projects

📌 Data Scientist (Brisbane)
🏢 IntelliSense.io
📍 Brisbane