Save Job Back to Search Job Description Summary Similar JobsInnovative Technology and Industry LeadershipGlobal Exposure and Career DevelopmentAbout Our Client Global logistics company, recognized as one of the largest container carriers in Asia, with a strong presence across Southeast Asia, China, the Middle East, Africa, and Latin America.Job DescriptionDesign, build, and maintain data infrastructure and pipelines to support analytics and machine learning initiativesProcess, analyze, and visualize large datasets to generate meaningful insights across various platformsCreate and deploy machine learning models for tasks such as prediction, classification, and clusteringIdentify and implement opportunities to automate and optimize data-related workflowWork closely with cross-functional teams to deliver data-driven solutions that support business objectivesEstablish and enforce data governance frameworks to maintain data accuracy, consistency, and qualityThe Successful ApplicantDegree in Computer Science, Data Science, or a related fieldFresh graduates are welcome to apply.Proficient in Azure Databricks and languages such as Python, JAVA, SQL, and experience with data science and engineering frameworks such as Scikit-learn, Pandas, Tensorflow, Spark, Hadoop, etc.Basic understanding of data warehousing and data management concepts.Basic knowledge in building and deploying scalable data pipelines using modern data engineering techniques and tools.Basic understanding of statistical modeling, machine learning algorithms, and data mining techniques.What's on OfferGlobal exposure and opportunity to work wiht one of the best technologies with industry leadershipContactJayden Yap (Lic No: R22110369/ EA no: 18C9065)Quote job refJN-062026-7050463Phone number+65 6416 9897Job summaryFunctionITSpecialisationIT Data AnalysisWhat is your area of specialisation?Technology & TelecomsLocationSingaporeContract TypePermanentConsultant nameJayden Yap (Lic No: R22110369/ EA no: 18C9065)Consultant contact+65 6416 9897Job ReferenceJN-062026-7050463Work from HomeWork from Home or Hybrid