Data Scientist

Data Scientist – Consulting (Mid-level) Location: Brisbane or Perth At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges. From utilities and transport networks to climate resilience and asset management, our teams are delivering intelligent solutions that create lasting impact. We're looking for a Data Scientist with strong problem-solving capabilities who can take projects from raw source systems through to client-facing analytical insights, production-ready data products and machine learning solutions. This is fundamentally a consulting role. Consulting experience is highly preferred – or similar experience that demonstrates the ability to translate client challenges into working data or strategic solutions, often across multiple simultaneous projects or initiatives. We're seeking someone who enjoys technical problem solving, analytical rigour, client communications, and can bridge the gap between data analytics, operationalised AI and commercial acumen What you'll do As part of our growing Data Science and Analytics team, you'll break down, structure and solve complex operational challenges for clients from diverse sectors and industries. You will: Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover. Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management. Turn messy data into structured datasets, developing logic to synthesise that data into client outputs to aid decision-making. Structure, visualise and effectively present highly complex and quantitative solutions to mixed audience clients, including senior client stakeholders in commercial, operational, strategic and delivery functions of client organisations Effectively synthesise disparate datasets from client and open-source systems, including SCADA, asset registers, geospatial, climate, environmental and utilities data into Python notebooks (e.g. pandas / geopandas) involving cloud environments such as Snowflake, Databricks, Azure, AWS. Design fit-for-purpose data models tailored to different client data sources, data types and data structures and effectively perform data validation and data QA before further analysis. Contribute CI/CD practices, environments, secrets management and automation for data and model pipelines. Build, validate and deploy statistical models, transforming prototypes into monitored and production-ready solutions. Engage directly with clients and work well under pressure. This includes managing challenging client conversations, scope and program changes and an ability to communicate the feasibility of client suggestions both technically and practically as it relates to existing project commitments. Strong time management skills, including the ability to effectively communicate to project managers/seniors any challenges related to resourcing and project delivery. Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects. What we'll be looking for Essential You will bring a combination of data science expertise and engineering rigour, including: Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design. Advanced skills in data manipulation of tabular data via tools such as SQL or Python pandas. Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies. A solid understanding of statistics, optimisation and machine learning techniques including regression, classification, forecasting, graph routing, constraint satisfaction and validation methodologies. Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments. Experience working with large, complex and imperfect operational datasets from multiple source systems. Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences. Clear technical writing for reports and proposals. Desirable Experience in any of the following areas will be highly regarded: Azure AI (Foundry) or other cloud AI development environments. Docker, Azure Functions, AWS Lambdas or other deployment technologies. Asynchronous and concurrent programming High-frequency telemetry, IoT or time-series data. Geospatial analytics and tools such as GeoPandas. Infrastructure sector experience across water, transport, energy, defence or environmental services. Optimisation, simulation or digital twin applications. Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements. Why join WSP? At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology. We offer: The opportunity to work on nationally significant infrastructure and sustainability projects. Access to industry-leading digital, AI and cloud technologies. Flexible working arrangements that support work-life balance. Ongoing investment in learning, development and technical career growth. A collaborative, inclusive and high-performing culture where innovation is encouraged. The chance to influence how data and AI are applied to some of the world's most pressing challenges. Salary range: $110,000 to $130,000 AUD inclusive of superannuation, depending on experience and fulfilment of role requirements. Imagine a better future for us all and a better future for you. With us, you can. Apply today.