Save Job Back to Search Job Description Summary Similar JobsWork on advanced machine learning projects with real business impact.Use data science to influence key strategic decisions in a dynamic team.About Our ClientOur client is a large organization in the retail sector, renowned for its commitment to innovation and customer service. With a strong presence across Australia, they operate in a fast-paced, technology-driven environment.Job DescriptionExtract, analyse and interpret large volumes of data to identify trends and insights.Develop predictive models to support decision making and business optimisation.Collaborate with cross-functional teams to understand business needs and propose data-driven solutions.Design and implement data collection systems and strategies.Ensure data quality and integrity.Present findings and insights to stakeholders.Keep up to date with the latest industry trends and technologies.Contribute to the development of data governance policies and practices.The Successful ApplicantA successful Data Scientist should have:A degree in Computer Science, Statistics, Mathematics, Data Science, or a related fieldProficiency in programming languages such as Python, R, SQL, SAS, Scala, and Java (for big data processing)Experience with data analysis and visualization tools such as Power BI, Tableau, and ExcelHands-on experience in data mining, statistical analysis, and predictive modelingStrong knowledge of machine learning techniques, including regression, classification, clustering, and anomaly detectionExperience with deep learning frameworks such as TensorFlow, PyTorch, and KerasFamiliarity with big data technologies such as Hadoop, Spark, and HiveStrong problem-solving skills with the ability to translate complex data into actionable insightsExcellent communication skills to effectively present findings to technical and non-technical stakeholdersExperience in a retail or commercial environment is highly regardedWhat's on OfferAttractive daily rateHybrid flexible working arrangementsOn-site cafeFitness club facilitiesIf you're a Data Scientist looking for a new opportunity in the retail industry, we'd love to hear from you. Apply today to join a company that values innovation and data-driven decision making.ContactDivya KhanguraQuote job refJN-022025-6657600Phone number+61386166236Job summaryFunctionInformation TechnologySpecialisationData Analysis & DevelopmentWhat is your industry?RetailLocationHawthornJob TypeTemporaryConsultant nameDivya KhanguraConsultant phone+61386166236Job ReferenceJN-022025-6657600