About Us: Renaissance Info Systems is a technology and digital recruitment agency, connecting contract and permanent professionals with clients across Asia-Pacific. We aim to differentiate ourselves through our level of responsiveness, and our understanding that comes from being an IT recruitment agency from the IT Industry. Our recruiters balance sophisticated and simple inter-personal techniques to assure a solid candidate network. Know More: http://www.reninfo.com.au

SYDNEY AIRPORT

Senior Data Scientist — Onshore

Advanced Analytics & AI (Data Science) · Operations Function

Data Science, Advanced Analytics & AI

Reports to

Data Science Lead / Advanced Analytics Lead

Location

Sydney, Australia (onshore, hybrid)

KEY RESPONSIBILITIES

1. Lead delivery of forecasting and optimisation use cases such as car-park occupancy and price-elasticity modelling, valet resource optimisation, 18-month and 5-year passenger (PAX) forecasts, ML security-screening forecasts, and retail PSR and cross-sell models.
2. Partner directly with business owners across Parking, Commercial/Aero, Retail and Operations to frame problems, define success measures, and translate model outputs into pricing, capacity, staffing and revenue decisions.
3. Design, build, validate and productionise models in Python on our data science platform (Azure Machine Learning), integrated with Snowflake.
4. Own model quality and the full lifecycle — feature engineering, explainability and what-if analysis, batch prediction, and production monitoring for data drift and model health.
5. Present forecasts, insights and recommendations to senior stakeholders and executives, and run scenario analysis to support high-stakes decisions (e.g. capacity build vs no-build,



pricing strategy).
6. Set technical direction and mentor onshore and offshore data scientists; review work and lift delivery standards.

SKILLS & EXPERIENCE — ESSENTIAL

1. 7 years’ applied data science, with a track record of models deployed to production and adopted by the business.
2. Expert in Python (pandas, scikit-learn and related ML/stats libraries) and SQL, with a strong foundation in time-series forecasting, regression, classification and clustering.
3. Hands-on experience with an enterprise ML platform (Azure ML or equivalent AutoML) and a cloud data warehouse (Snowflake or equivalent).
4. Proven MLOps discipline — model deployment, batch-prediction pipelines, monitoring, drift detection and retraining.
5. Working experience on Microsoft Azure (e.g. Azure ML, Azure DevOps, storage and compute services).
6. Excellent stakeholder engagement and data storytelling — able to turn technical results into commercial decisions and present with confidence to executives.
7. Degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering or Data Science) or equivalent experience.

DESIRABLE

1. Aviation, transport, or pricing / revenue-management and forecasting-heavy operational domains.
2. Power BI, explainable AI, optimisation, and A/B testing frameworks.
3. Familiarity with Responsible AI governance and privacy-aware analytics.
4. Experience leading or mentoring distributed onshore/offshore teams.

OUR TOOLS & ENVIRONMENT

Python · SQL · Microsoft Azure Machine Learning · Snowflake · Power BI · Azure Cloud

Regards,

Reshu Seth

Recruitment Consultant

Renaissance InfoSystem

M: 61 478 487 026

E: [email protected]

W: http://www.reninfo.com.au

📌 Senior Data Scientist (Sydney)
🏢 Renaissance InfoSystems
📍 Sydney