At Flight Centre Travel Group (FCTG) our purpose is to 'open up the world for those who want to see'. Every day, we give people all around the world the opportunity to experience something really amazing – travel! We are seeking a skilled and motivated Data Scientist to join our Data Science & AI team within the Global Supply division. You'll play a crucial part in exploring data, designing experiments, and building proof-of-concept models that solve real business problems, then handing off validated approaches to our AI Engineers for productionisation. If you thrive on turning ambiguous business questions into measurable outcomes using Python, Databricks, Azure ML, and emerging techniques like NLP, LLMs, and generative AI, we'd love to hear from you! Day to day: Exploring and analysing large datasets using Python, SQL, and Databricks to uncover patterns and business opportunities Designing and running experiments (A/B tests, causal inference, statistical modelling) to validate hypotheses and measure impact Building and iterating on proof-of-concept ML models using Azure Machine Learning, MLflow, and Spark Preparing clear documentation and handoff packages for AI Engineers to productionise validated models Collaborating with business stakeholders to translate ambiguous problems into well-defined analytical questions Applying NLP, LLMs, embeddings, and generative AI techniques where appropriate Communicating findings through compelling visualisations and presentations to both technical and non-technical audiences You'll be perfect for the role if you have: 3 years' experience in data science, analytics, or applied statistics Strong programming skills in Python (pandas, scikit-learn, numpy, matplotlib/seaborn) Experience with Databricks, Spark, and SQL for large-scale data analysis Hands-on experience with Azure Machine Learning and MLflow Solid understanding of statistical methods, hypothesis testing, and experimental design Strong communication and collaboration skills working with cross-functional teams A tertiary qualification in Data Science, Statistics, Computer Science, Mathematics, or related field You'll earn brownie points with: Experience with NLP, LLMs, prompt engineering, or embeddings Azure certifications Familiarity with data governance and responsible AI frameworks What you'll Enjoy: ♀️Culture: you will be employed by an inclusive company that offers a team culture like no other in the industry - Flight Centre Travel Group Australia is proud to be a certified Great Place To Work® Australia New Zealand Pty Ltd Our People: FCTG is an Equal Opportunity Employer and encourage all suitably qualified applicants to apply, including Aboriginal and Torres Strait Islander People and people from racial, ethnic, or ethno-religious minority groups and people with disability Development: Individualised Learning & Development pathway options Access to 'LinkedIn Learning' for ongoing skills development: over 24,500 courses in over 20 languages Exclusive Staff Discounts: Accessible via our employee-only portal with 350 of Australia’s leading retailers, health and wellness discounts, financial planning advice, employee share plan and more Travel Discounts: Including family and friends - flights, hotels, tours, cruises, travel insurance and more Brightness of Future: Career opportunities in a network of brands and businesses across the globe - we promote from within Corporate Health Discounts: Access exclusive discounts on health insurance plans for you and your family with our partner, BUPA, access to internal gym Mental Health: Support and Employee Assistance Program for staff and family Social: Regular awards nights, social team-building and industry events, with the opportunity to attend global conferences (Bangkok in 2026) Giving Back: Corporate Social Responsibility program supporting nominated charities through Workplace Giving, volunteering and fundraising; paid parental and volunteer leave Sustainability: The protection of our environment is essential to the future of tourism, as a leading travel group, we have made efforts to affect positive change to the environment LI-KC1LIonsite <