Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management.
Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover.
Support business development activities through technical input into proposals, bids and advisory engagements.
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 SQL skills with experience in optimisation, data modelling, metric development and complex transformations.
Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies.
Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar.
A solid understanding of statistics and machine learning techniques including regression, classification, forecasting 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.
Desirable
Experience in any of the following areas will be highly regarded
MLOps tooling including MLflow, model registries and model monitoring.
Docker, Azure Functions or other deployment technologies.
Infrastructure as Code tools such as Terraform or Bicep.
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.
Imagine a better future for us all and a better future for you.
With us, you can. Apply today.
