About the role

We’re hiring a Data Scientist to design and deliver advanced analytics and machine learning solutions that leverage both classical and quantum computing capabilities. Based at our UNSW Sydney office, you’ll work within the Software Engineering team and collaborate with quantum engineers, hardware specialists, and customer organisations to build data-driven models that solve high-impact problems.

This role is ideal for someone who thrives on extracting insights from complex datasets and is curious about applying quantum-enhanced approaches to real-world challenges. You’ll work with internal and external teams to deliver tailored, outcome-driven solutions across industries such as telecommunications, defence, finance, pharmaceuticals and more.

Role responsibilities

• Design, develop, and deploy data science models for classification, prediction, and optimisation tasks.
• Collaborate with internal teams and external customers to define use cases and deliver fit-for-purpose solutions.
• Translate business requirements into technical problem statements and modelling strategies.
• Build and optimise data pipelines for large-scale analytics and machine learning workflows.
• Advise customer teams on model selection, tuning, and integration with advanced computing platforms.
• Work closely with quantum physicists and software engineers to explore quantum-enhanced data science techniques.
• Evaluate and recommend tools, frameworks, and methodologies to improve performance and scalability.
• Stay current with emerging trends in data science, machine learning, and quantum computing.

Your experience

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• Proven track record in developing and deploying data science models with measurable business impact.
• Strong understanding of statistical modelling, machine learning algorithms, and optimisation techniques.
• Proficiency in Python and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies.
• Familiarity with data engineering practices and pipeline development.
• Ability to define clear problem statements and select appropriate modelling approaches.
• Strong communication skills and ability to collaborate across technical and non-technical teams.
• Exposure to quantum computing concepts is desirable but not essential.

The recruitment process

For roles at SQC, expect 3-4 interviews, meeting a few members of the team and focusing on your core eligibility for the role, your skills and how they align, and finally your values and how they align. We'll give you a more specific runthrough if you're successful in making it to the first interview.

As part of our obligations to our clients, we require that successful candidates submit to background checks, including a National Police Check, Right to Work checks, as well as employment and qualifications verification. We won't contact anyone until we're confident there's a fit between SQC and yourself.

How to apply

The best and simplest way is to apply directly here, rather than messaging anyone on the SQC team directly. If you have any questions that you'd like answered before committing to applying, please feel free to email us at careers@sqc.com.au.

Please note

This position may require access to export-controlled information (ECI) subject to EAR and ITAR. Final employment decision is contingent upon satisfactory completion of export control screenings and obtaining any necessary export licenses or approvals, based on nationality, citizenship, and other factors considered by applicable export control regulations.