You’re someone who wants to create outcomes that have a real impact on the people of NSW.
You're all about the detail and this role will allow you to drive evidence-based decision making to optimise systems and efficiency, not just for the business but for our customers too. It's data and research with impact you can see.
Be working as part of a team delivering operational and strategic transport forecasting and traffic modelling solutions.
This role will see you support the development, operation, review and continuous improvement of meso and micro transport models, undertake transport and traffic analysis, contribute to forecasting activities, and build your expertise across a range of modelling projects that inform future transport planning decisions.
You will analyse, develop and improve transport models and forecasting capabilities in a complex and evolving transport planning environment, balancing technical rigour, quality assurance and stakeholder requirements to support project outcomes across Transport for NSW.
For more information on this position and business unit, view the role description and information pack.
Your analytical thinking, problem-solving skills and ability to communicate technical concepts clearly formed across transport planning, transport modelling, engineering, mathematics, data science or related fields will see you excel in developing and reviewing transport models, interpreting complex datasets, supporting forecasting activities and delivering clear, evidence-based insights for a range of stakeholders.
You’re recognised as a collaborative and detail-oriented professional, skilled at analysing transport data, documenting modelling assumptions and translating technical findings for both technical and non-technical audiences, experienced in transport and traffic modelling principles, quality assurance processes and the use of modelling software such as Aimsun, SIDRA, VISSIM and/or Dynameq.
Experience with Python scripting to support modelling and analytical activities will be highly regarded.
You will also bring:
Knowledge of operational and strategic transport modelling concepts, methodologies and analysis techniques.
Experience collecting, analysing and interpreting data to support model development and improvement.
Strong written and verbal communication skills, with the ability to explain modelling inputs, outputs, assumptions and limitations to diverse stakeholders.
Relevant tertiary qualifications in transport planning, engineering, mathematics, data science or a related discipline, or equivalent experience.
The ability to attend the Macquarie Park office on Mondays and Tuesdays, with an additional half-day attendance at an office location of your choice.
Transport for NSW provides a safe, integrated, and efficient transport system. We connect people, communities and industry every day.
Our workforce is as diverse as the community we serve. If you’d like further information on our inclusion and diversity initiatives, visit Transport careers.
Flexible work options may be available. Learn more via Flexible work options and policy
Applications close 11:59 PM Thursday, 1 October 2026.
For more information about this role, please contact SALLY.MCDONALD@TRANSPORT.NSW.GOV.AU.
Aboriginal people and people living with disability are supported throughout the recruitment process and at work, and we encourage you to apply. Visit Supporting Aboriginal People or Supporting People with Disability for more information or speak to your talent team member to arrange any adjustments to how you interact with us.
Learn more about how to apply via Our recruitment process | Transport for NSW
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ANSTO is one of Australia’s largest public research organisations and custodian of much of our country’s important science infrastructure, including the OPAL nuclear research reactor, the Australian Synchrotron, accelerators, cyclotrons and neutron beam instruments.
More than 1000 scientists, engineers and experts work at ANSTO to answer the significant environmental, medical and industrial questions using nuclear techniques.
ANSTO’s international collaborations, including partnerships with the European Organization for Nuclear Research (CERN), ensure Australian scientists are connected to a global network of experts and research projects.
As part of enabling a strong national collaborative network, ANSTO is connected with all Australian and New Zealand universities through the Australian Institute of Nuclear Science and Engineering (AINSE), providing researchers access to Australia’s nuclear science, technology and engineering expertise and landmark infrastructure.
On average, ANSTO accommodates over 1800 visiting researchers from other Australian and international research organisations each year.
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