04th November, 2026
A2B Australia is part of the ComfortDelGro Australia (CDC) Group, the country’s leading taxi network and a major provider of mobility, technology, and payment solutions.
Through our iconic brands 13cabs, Silver Service, Swan Taxis and Cabcharge we deliver end‑to‑end transport experiences, from booking and dispatch through to safe, reliable travel and seamless payment. Our services support corporate, community and disability customers nationwide.
Our network is Australia’s largest, with 7,000+ vehicles and 11,500 drivers, supported by contact centres, technology hubs and in‑field support teams. We power drivers, operators and passengers with dispatch, navigation, in‑car tech, apps and payment solutions across Australia and globally.
The A2B Way We care about our customers, our business and each other. We work as one connected team, value accountability and collaboration, and encourage innovation to shape the future of mobility. We invest in wellbeing, safety, learning and development, recognise high performance, and celebrate diversity and inclusion.
At A2B Australia, we're transforming the way Australians move through our brands including 13cabs. We're looking for a Senior Data Scientist to help unlock value from data and deliver meaningful business outcomes through advanced analytics, machine learning and AI.
Join our Data & Analytics team and play a key role in solving complex business challenges using data-driven insights. Working closely with stakeholders across the business, you'll take ownership of end-to-end data science initiatives, from understanding business problems and preparing data through to developing models, communicating insights and supporting better decision-making across the organisation.
What You'll Be Doing - Develop and implement statistical and machine learning models that address business challenges and opportunities
- Analyse large and complex datasets to uncover trends, patterns and actionable insights
- Perform exploratory data analysis and data preparation to support modelling and advanced analytics initiatives
- Evaluate and improve model performance using appropriate statistical and machine learning techniques
- Identify opportunities to optimise existing models, analytical processes and business outcomes
- Apply techniques such as regression, classification, clustering, forecasting and predictive modelling where relevant
- Contribute to reusable analytical assets, reporting solutions, processes and documentation
- Stay current with emerging developments in data science, machine learning, AI, automation and analytics
About You You're a technically strong and commercially minded data professional who enjoys solving complex problems, collaborating with stakeholders and translating analytical insights into practical business outcomes.
You'll bring:
- A degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline
- Approximately 3-5 years' experience in data science or advanced analytics
- Strong experience using Python and/or R for data analysis and modelling
- Advanced SQL skills and experience working with structured and large datasets
- Experience applying statistical and machine learning techniques to real-world business challenges
- Strong capability in data preparation, feature engineering, model development and model evaluation
- Experience with data visualisation tools such as Power BI or Tableau
- Strong Power BI expertise, including Star Schema data modelling and the development of scalable, high-performance data models
- Experience with machine learning frameworks such as scikit-learn, XGBoost, TensorFlow or PyTorch
- Exposure to enterprise data warehouse, lakehouse or modern data platform environments
- Experience working with cloud data platforms such as Azure, AWS or Google Cloud
- Experience with Generative AI, NLP or other emerging AI technologies
We're looking for someone who:
- Has strong analytical and problem-solving skills
- Can clearly communicate technical concepts and analytical outcomes to non-technical stakeholders
- Enjoys working collaboratively in cross-functional teams
- Is curious, innovative and committed to continuous learning
- Demonstrates accountability and takes ownership of outcomes
- Builds strong working relationships and contributes positively to team success
Why Join A2B - Work on meaningful data challenges that support mobility, payments and customer experience outcomes across a nationally recognised organisation
- Access diverse and complex datasets that create opportunities to deliver impactful analytics and machine learning solutions
- Be part of a collaborative team that values innovation, continuous improvement and professional growth
- Contribute to shaping the future of transport, technology and payment solutions in Australia
- Join a business that invests in wellbeing, learning and development, diversity and inclusion
If you're excited by the opportunity to apply advanced analytics and machine learning to real-world business challenges, we'd love to hear from you.
Acknowledgement of Country
ComfortDelGro Corporation Australia (CDC) and A2B acknowledges the Traditional Custodians throughout Australia, and their continuing connection to land, waters and community. We pay our respects to all First Nations people, their culture and to Elders past and present.
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