{"id":2896570,"url":"https://alion.io/job/wsp-data-scientist","title":"Data Scientist","company":{"id":1668012,"name":"WSP","domain":"wsp.com","url":"https://alion.io/company/wsp-ca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":355,"ghost_share":0,"stale_share":0.975,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Perth, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":139000,"period":"year","method":"role_country_seniority_unknown","sample_n":12},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Bicep","optional":true},{"name":"Digital Twin","optional":true},{"name":"Docker","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"Terraform","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-20T04:50:55Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T10:28:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Data Scientist\nAt 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.\nWe'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.\nWhat you'll do\nAs 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.\nYou will:\nDesign 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.\nDevelop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks.\nBuild, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions.\nEstablish CI/CD practices, environments, secrets management and automation for data and model pipelines.\nAssess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management.\nDeliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover.\nSupport business development activities through technical input into proposals, bids and advisory engagements.\nCollaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects.\nWhat we'll be looking for\nEssential\nYou will bring a combination of data science expertise and engineering rigour, including:\nStrong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design.\nAdvanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations.\nProduction experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies.\nExperience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar.\nA solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies.\nDemonstrated experience operationalising data products, machine learning models or data pipelines within production environments.\nExperience working with large, complex and imperfect operational datasets from multiple source systems.\nStrong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences.\nDesirable\nExperience in any of the following areas will be highly regarded:\nMLOps tooling including MLflow, model registries and model monitoring.\nDocker, Azure Functions or other deployment technologies.\nInfrastructure as Code tools such as Terraform or Bicep.\nHigh-frequency telemetry, IoT or time-series data.\nGeospatial analytics and tools such as GeoPandas.\nInfrastructure sector experience across water, transport, energy, defence or environmental services.\nOptimisation, simulation or digital twin applications.\nPower BI or similar visualisation tools sufficient to support analyst handover and reporting requirements.\nWhy join WSP?\nAt 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.\nWe offer:\nThe opportunity to work on nationally significant infrastructure and sustainability projects.\nAccess to industry-leading digital, AI and cloud technologies.\nFlexible working arrangements that support work-life balance.\nOngoing investment in learning, development and technical career growth.\nA collaborative, inclusive and high-performing culture where innovation is encouraged.\nThe chance to influence how data and AI are applied to some of the world's most pressing challenges.\nImagine a better future for us all and a better future for you.\nWith us, you can. Apply today.","description_format":"text","description_chars":4732,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Transport Infrastructure","Civil & Structural Engineering","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-20T05:05:59Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":42,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/wsp-data-scientist","json_url":"https://alion.io/job/wsp-data-scientist.json","meta":{"generated_at":"2026-10-23T13:19:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19858,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1668012},"rest":"https://alion.io/mcp/rest/get_company?id=1668012"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwsp-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwsp-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwsp-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wsp-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwsp-data-scientist"}]}