# Data Scientist

**Company**: WSP
**Location**: Perth, Western Australia
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Consulting

**Apply**: https://emit.fa.ca3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/96973?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_87f1098f-f69

## Description

At WSP, we're using data to help solve some of the world's most complex infrastructure, environmental and community challenges.

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.

**What you'll do**

As 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:

- 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.

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.

## Skills

### Required
- Python
- SQL
- Snowflake
- Databricks
- Azure
- dbt
- Airflow
- Azure Data Factory
- Statistics
- Machine Learning
- Cloud Computing
- Data Engineering

### Nice to have
- MLOps
- MLflow
- Docker
- Azure Functions
- Terraform
- Bicep
- GeoPandas
- Power BI

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Source: [Apply at emit.fa.ca3.oraclecloud.com](https://emit.fa.ca3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/96973?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)