Job description: SeniorData Scientist Client Airport's AdvancedAnalytics & AI function turns operational and commercial data intodecisions across parking, aeronautical, retail and airport operations.
As aSenior Data Scientist you own our highest value data science use casesend-to-end — from framing the problem with business owners through to deployingand monitoring production models — and act as the trusted technical advisorbridging the business and our onshore/offshore delivery team.
KEY RESPONSIBILITIES• Lead delivery of forecasting andoptimisation use cases such as car-park occupancy and price-elasticitymodelling, valet resource optimisation, 18-month and 5-year passenger (PAX)forecasts, ML security-screening forecasts, and retail PSR and cross-sell models.
• Partner directly with business owners acrossParking, Commercial/Aero, Retail and Operations to frame problems, definesuccess measures, and translate model outputs into pricing, capacity, staffingand revenue decisions.
• Design, build, validate and productionisemodels in Python on our data science platform (Azure Machine Learning),integrated with Snowflake.
• Own model quality and the full lifecycle —feature engineering, explainability and what-if analysis, batch prediction, andproduction monitoring for data drift and model health.
• Present forecasts, insights andrecommendations to senior stakeholders and executives, and run scenarioanalysis to support high-stakes decisions (e.g. capacity build vs no-build,pricing strategy).




• Set technical direction and mentor onshoreand offshore data scientists; review work and lift delivery standards.
SKILLS & EXPERIENCE —ESSENTIAL• 7+ years' applied data science, with a trackrecord of models deployed to production and adopted by the business.
• Expert in Python (pandas, scikit-learn andrelated ML/stats libraries) and SQL, with a robust foundation in timeseriesforecasting, regression, classification and clustering.
• Hands-on experience with an enterprise MLplatform (Azure ML or equivalent AutoML) and a cloud data warehouse (Snowflakeor equivalent).
• Proven MLOps discipline — model deployment,batch-prediction pipelines, monitoring, drift detection and retraining.
• Working experience on Microsoft Azure (e.g.Azure ML, Azure DevOps, storage and compute services).
• Excellent stakeholder engagement and datastorytelling — able to turn technical results into commercial decisions andpresent with confidence to executives.
• Degree in a quantitative discipline(Statistics, Mathematics, Computer Science, Engineering or Data Science) orequivalent experience.
DESIRABLE• Aviation, transport, or pricing /revenue-management and forecasting-heavy operational domains.
• Power BI, explainable AI, optimisation, andA/B testing frameworks.
• Familiarity with Responsible AI governanceand privacy-aware analytics.
• Experience leading or mentoring distributedonshore/offshore teams.
OUR TOOLS & ENVIRONMENTPython · SQL · Microsoft AzureMachine Learning · Snowflake · Power BI · Azure Cloud

📌 Senior Data Scientist (New South Wales)
🏢 XPT Software Australia Pty
📍 New South Wales