Data Scientist

WSP in AustraliaPerthRemoteFull-time2 weeks ago

WSP is seeking a Data Scientist with strong data engineering capabilities to design, build and deploy scalable data and machine learning solutions for infrastructure clients. The role requires end-to-end delivery from raw source systems to production-ready data products, bridging data engineering, analytics and operationalised AI.

What you'll do

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.

What you need

Must-have

PythonSQLSnowflakeDatabricksAzureAWSdbtApache Airflow

Nice-to-have

MLflowDockerAzure FunctionsTerraformBicepIoTTime-series DataGeoPandas

Soft skills

Stakeholder engagementCommunicationCollaborationOwnership

Data ScientistProfessional ServicesInfrastructureMachine LearningData EngineeringCloudRemoteFull-time

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need