More jobs:
Data Scientist
Job in
Perth, Perth and Kinross, PH1, Scotland, UK
Listed on 2026-10-22
Listing for:
WSP Group
Full Time
position Listed on 2026-10-22
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Analytics and Insights
Location:
Perth, Western Australia, Australia;
Brisbane, Queensland, Australia;
Sydney, New South Wales, Australia Posted:
Data Scientist 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 ope rationalised AI.What you'll doAs part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients.
You will:
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 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 ope rationalising 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 Geo Pandas.
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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×