Data Scientist (GCP) role at Michael Page About Our Client: A leading Australian retailer serving millions weekly, known for innovation, sustainability, and customer focus. It drives data-led decisions across supply chain, digital platforms, and community initiatives to enhance everyday experiences. Overview Join to apply for the Data Scientist (GCP) role at Michael Page. Responsibilities Design and implement scalable data models and pipelines using GCP tools (BigQuery, Dataflow, Vertex AI, etc.). Apply advanced statistical methods and machine learning techniques to solve real-world business problems. Collaborate with cross-functional teams including engineering, product, and analytics to deliver data-driven solutions. Develop dashboards, reports, and visualizations that communicate insights clearly to stakeholders. Champion data governance, quality, and best practices across the organization. Qualifications A strong background in data science, analytics, or a related field. Proficiency in Google Cloud Platform (GCP) tools and services. Experience with programming languages such as Python or R. Excellent problem-solving and analytical skills. Knowledge of machine learning techniques and their practical applications. Strong communication skills to present data insights effectively. Attention to detail and a commitment to data accuracy. What’s on Offer Competitive salary range: AUD 130,000 – 140,000, depending on experience. Permanent role with opportunities for career progression. Work in Sydney, a vibrant and bustling city. Collaborative and innovative company culture. Exposure to cutting-edge technologies in the retail industry. Generous holiday leave entitlements. Contact: Emily Cawley. Quote job ref: JN-092025-6832844. Job Details Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology Industries: Retail, Consumer Services, and Food and Beverage Services Location: St Leonards, New South Wales, Australia J-18808-Ljbffr