Data Scientist

Apply your data science skills to help leaders solve Australia’s most complex strategic challenges and navigate transformational change.

This role offers the opportunity to work across diverse sectors and challenges while developing both technical depth and consulting judgement within one of Australia's leading consulting firms. You will work alongside consultants, economists, policy specialists and technical experts to help Australia’s most significant organisations make better decisions through evidence.

As a Data Scientist, you will work with complex datasets, apply rigorous quantitative methods, build reproducible analytical products, and translate technical findings into practical insights that influence policy, strategy and investment decisions.

You’ll contribute to complex evaluations, major reviews, funding and pricing frameworks, service system reform, workforce planning, forecasting, econometric analysis, and organisational performance improvement. Our work spans Federal and State Government agencies, regulators, not-for-profits and private sector organisations.

You will need to be comfortable translating complex data findings into actionable insights for non-quantitative teams, while building trusted relationships with clients to help them clearly understand the value of your work.

You’ll have the opportunity to deepen your expertise in areas such as statistical modelling, data visualisation, causal inference, geospatial analysis, interactive reporting, agentic coding, and explore economic and financial modelling.

Nous is a great place to work…

Nous Group is an international management consultancy with over 650 people working with clients across Australasia, the United Kingdom, and North America. We are a values-based organisation that is inspired and determined to improve people’s lives in significant ways. Working in unique, cross-disciplinary teams we create innovative and enduring solutions that transform businesses, governments, and communities. We realise a bigger idea of success.

Nous Group is proud to be recognised as a Great Place to Work in Australia, Canada and the UK, reflecting our expanding global influence and success. Nous consistently garners accolades as an exceptional workplace through various competitive reviews. We've been acknowledged as one of LinkedIn’s Top Companies for career growth in Australia and have been awarded Best Management Consulting Firm by the Australian Financial Review on multiple occasions.  

As a Data Scientist, you will:

• Contribute to major evaluations, reviews, pricing and funding models, strategic advisory engagements and reform programs for government and private sector clients

• Design and undertake quantitative analysis using statistical and data science methods to answer complex policy, operational and strategic questions

• Prepare, clean, validate and analyse large and complex datasets from multiple sources

• Develop reproducible code, analytical workflows and technical documentation using R

• Build clear and compelling visualisations, dashboards and analytical outputs that support stakeholder decision making

• Translate technical findings into accessible insights and recommendations for non-technical audiences

• Contribute specialist analytical input to proposals, methodologies and project approaches

• Work closely with consulting teams and client stakeholders to shape analytical approaches and interpret findings in context

• Support quality assurance of analytical work through testing, peer review and documentation

• Contribute to the development of Nous intellectual property, reusable analytical tools, methods and capability.

And the practical experience:

• Strong proficiency in R, or demonstrated proficiency in another data science programming language such as Python, Julia or similar.

• Demonstrated application of statistical, econometric or analytical techniques to real-world problems

• Ability to analyse, interpret and communicate quantitative findings to both technical and non-technical audiences, using visualisation, reports, presentations and dashboards

• Experience developing interactive analytical applications (e.g. R Shiny, Flask, Streamlit or similar) is highly regarded

• Familiarity working with SQL and relational databases

• Ability to work comfortably with ambiguity, incomplete data and complex stakeholder environments.

• Practical exposure to tools such as Claude, Codex or similar generative AI platforms to support workflows

• Proficiency in version control and collaboration tools, such as Azure DevOps, GitLab, or GitHub.

• Experience in program evaluation, public policy, economics, health, health economics, and funding models, education, infrastructure, regulation, funding models or related fields is highly regarded

Highly regarded: A tertiary qualification in Data Science, Computer Science, Statistics, Economics, Mathematics, Actuarial Studies, or a related quantitative discipline. Equivalent professional experience will also be considered.

We recognise that strong data scientists come from a range of professional and academic backgrounds. If you are excited by applying quantitative methods to important organisational, social and policy challenges, we encourage you to apply, even if your experience does not align perfectly with every criterion listed above.

Finally, some important details...

Nous is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from people of all backgrounds, including Aboriginal and Torres Strait Islander people. Nous is a flexible workplace that offers opportunities on a full-time and part-time basis.

If you have experience working on complex problems, and want to be part of a dynamic team that puts people at the centre of everything, then we'd love to hear from you!

To apply for a role at Nous in Australia, you must have the right to work in Australia.

Please note if you are successful in the recruitment process, you will be required to undertake background screening prior to your commencement at Nous.