Data Scientist

IntelliSense.io; Brisbane; A distancia; AUD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

A truly inclusive, supportive team?c

Flexible working hours and remote‑?rst

Descripción de la vacante

IntelliSense.io in Brisbane, Australia is seeking an accomplished Data Scientist to turn mathematical formulations into scalable Python software. You will design and maintain production-grade Python code, improve architecture, and mentor others while collaborating with engineers and domain experts.

The role welcomes mid-to-senior professionals and offers remote-first flexibility and a supportive team culture.

Formación

• Formal training or higher degree in CS, engineering, physics, or applied math.
• Ability to write clean, maintainable, and well-tested Python code.
• Experience bridging science and software and communicating with engineers and scientists.
• Production Python experience with modular architecture and unit testing with pytest.

Responsabilidades

• 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.

Conocimientos

Clean code

Python production engineering

Unit testing (pytest)

Software architecture

Mentoring

Educación

Formal training in Computer Science, Computational Engineering, Physics, or Applied Math

Herramientas

Git

pytest

CI/CD

Docker

Kubernetes

OOP/Functional programming

Descripción del empleo

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 environment, 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