Data Scientist

Job Title: Data Scientist Company: WSP Job Category: Data Science Roles & Responsibilities: 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 data engineering capabilities who can take projects from raw source systems through to production\-ready data products and machine learning solutions. This is not a research\-focused role. We're seeking someone who enjoys building end\-to\-end solutions, owns the technical delivery, and can bridge the gap between data engineering, analytics and operationalised AI. * Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure. * Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks. * Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production\-ready solutions. * Establish CI/CD practices, environments, secrets management and automation for data and model pipelines. * 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. * * 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. * * 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. * Work Location: Perth, Australia Availability: Full time

Experience in any of the following areas will be highly regarded: Key Skills: Data Science Salary: AUD 66858 - 99551 per yearly