Turn this role into an interview — a resume and cover letter built around what this employer wants.
Transport for NSW is seeking a Senior Data Scientist to lead advanced data science analysis, predictive modelling and ML initiatives to optimise the transport network. You will work across multidisciplinary teams, build scalable models and deliver actionable insights to reduce congestion and improve safety and customer outcomes.
You will apply rigorous statistical methods, manage large datasets, and collaborate with engineers, analysts and stakeholders to translate complex results into practical
If you’re after impact, there’s no other organisation in Australia that delivers work on this scale.
Your innovative mindset is key to creating solutions to complex problems. Our systems drive our organisational success and underpin every journey our customers take. This is your opportunity to be part of an expert team who build and refine seamless technology experiences.
Working as part of a team delivering advanced data science analysis, predictive modelling, machine learning, data integration, anomaly detection, and actionable insights that improve how the Transport network is developed and managed, helping reduce congestion, enhance safety and strengthen customer outcomes.
This role will see you apply advanced data science methods to large and complex datasets; lead statistical analysis and predictive modelling; design anomaly detection processes; develop and implement data science features and models; integrate new data sources; provide peer review and assurance of models; create data assets that support customer and stakeholder engagement; and collaborate across multidisciplinary teams, with development opportunities across emerging data science technologies, cloud‑based analytical platforms, modern ML/AI techniques, and the convergence of big data with traditional transport modelling.
You will lead new ways of delivering high‑quality insights and evidence‑based recommendations in a complex technical environment with legacy systems, diverse data sources, evolving analytical platforms, and competing stakeholder priorities across a matrixed organisation.
For more information on this position and business unit, view the role description and information pack.
Your in‑depth knowledge of machine learning and AI, expert SQL and relational database capability, extensive experience with Python/R, strong applied statistics skills, experience with big data platforms and NoSQL, and ability to build and deploy algorithms and analytical applications formed across data science, analytics, engineering, and cross‑team delivery environments will see you excel in solving complex modelling challenges, overcoming limitations of legacy systems and heterogeneous datasets, and bringing rigorous analytical methods to lead to accurate models, actionable insights, and improved customer, operational and network outcomes.
You’re recognized as an adept collaborator and communicator, skilled at explaining complex concepts, leading stakeholder engagement, and delivering compelling data storytelling, experienced in large‑scale data analysis, model development, cross‑validation, cloud‑based analytics, and coordinating across teams for planning, design and release delivery.
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 optionsmay be available. Learn more viaFlexible work options and policy
Database, Scientific, Senior Scientist, Data Analyst, Scientist, Technology, Engineering, Science, Data
#LI-Hybrid