About Us ALOIS Australia is a leading Talent and Technology Solutions company, focused on helping businesses across the country build stronger teams, smarter processes, and sustainable growth.

We work with organisations in diverse industries to deliver integrated workforce and technology solutions, from innovative hiring strategies to end-to-end digital transformation. Our approach combines data, insight, and human expertise to help clients solve complex workforce challenges with clarity and confidence.

Through our deep industry experience and commitment to excellence, we provide scalable, high-performance solutions that deliver measurable impact. Whether it’s onshore project delivery, workforce optimisation, or specialised technology services, ALOIS Australia ensures results that truly make a difference.

From Sydney to Perth and everywhere in between, we’re driven by one purpose: to empower Australian businesses and professionals to thrive in a rapidly changing world of work. At ALOIS Australia, every challenge is an prospect to innovate, and every partnership is built on trust, transparency, and long-term success.

Job Title – Senior Data Scientist

Job Location – Sydney

Employment Type – Contract/FTC

What Role You Will Play In Team : Senior Data Scientist Client Airport’s Advanced Analytics & AI function turns operational and commercial data into decisions across parking, aeronautical, retail and airport operations.

As a Senior Data Scientist you own our highest value data science use cases end-to-end — from framing the problem with business owners through to deploying and monitoring production models — and act as the trusted technical advisor bridging the business and our onshore/offshore delivery team.

Key Responsibilities





- 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.
- 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.
- Design, build, validate and productionise models 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, and production monitoring for data drift and model health.
- 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).
- Set technical direction and mentor onshore and offshore data scientists; review work and lift delivery standards.

Skills & Experience — Essential

- 7+ years’ applied data science, with a track record of models deployed to production and adopted by the business.
- Expert in Python (pandas, scikit-learn and related ML/stats libraries) and SQL, with a strong foundation in timeseries forecasting,



regression, classification and clustering.
- Hands-on experience with an enterprise ML platform (Azure ML or equivalent AutoML) and a cloud data warehouse (Snowflake or 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 data storytelling — able to turn technical results into commercial decisions and present with confidence to executives.
- Degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering or Data Science) or equivalent experience.

DESIRABLE

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

OUR TOOLS & SETTING Python

- SQL
- Microsoft Azure Machine Learning
- Snowflake
- Power BI
- Azure Cloud

Stay Connected With Us Learn more about ALOIS in Australia, visit our webpage ALOIS Australia Follow us on LinkedIn and Instagram

EEO Statement ALOIS Australia is committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all qualified applicants and do not discriminate on the basis of race, colour, religion, sex, age, national origin, disability, or any other characteristic protected under applicable laws. We value diversity and believe it strengthens our people, our culture, and the outcomes we deliver.

📌 SENIOR DATA SCIENTIST (Sydney)
🏢 ALOIS UK
📍 Sydney