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The successful candidate will play a critical role in delivering advanced data science solutions, analytics, and machine learning capabilities within a cloud-based environment.\nThis opportunity is ideal for an experienced Data Scientist with strong Azure cloud expertise, particularly within Azure Databricks, who can contribute immediately to a fast-paced and technically driven project environment.\nThe individual must be available to onboard within the next 2 weeks.\nBenefits\nKey Responsibilities\nDesign, develop, and deploy advanced data science and machine learning solutions\nWork with large, complex healthcare and medical datasets\nBuild and optimize data pipelines and analytical models within Azure Databricks\nPerform data cleansing, transformation, feature engineering, and predictive analytics\nCollaborate with business stakeholders, technical teams, and project managers to define data-driven solutions\nDevelop dashboards, reporting models, and actionable insights for business decision-making\nEnsure data governance, quality, and compliance within the medical sector environment\nContribute to AI/ML model deployment and monitoring processes\nSupport continuous improvement initiatives across analytics and cloud platforms\nMinimum Requirements\nProven experience as a Senior Data Scientist\nStrong hands-on expertise with Azure Databricks (essential)\nAdvanced experience with:Python\nSQL\nMachine Learning frameworks\nData modelling and analytics\n\nExperience working within Azure cloud environments\nStrong understanding of data engineering and big data concepts\nAbility to work independently within a hybrid project environment\nExcellent analytical, problem-solving, and communication skills\nExperience within the healthcare or medical sector will be advantageous\nTechnical Skills\nEssential\nAzure Databricks\nMicrosoft Azure\nPython\nSQL\nMachine Learning & Predictive Analytics\nData Visualization & Reporting\nData Pipelines & ETL Processes\nAdvantageousAI/ML deployment experience\nPower BI\nHealthcare/Medical sector exposure\nMLOps knowledge\nKey Competencies\nStrong analytical thinking\nProblem-solving ability\nStakeholder engagement\nAttention to detail\nAbility to work under pressure\nStrong communication and collaboration skills\nSelf-management and accountability\nAdditional Information\nImmediate availability preferred\nCandidates must be able to work onsite in Midrand when required\nThis is a high-impact project within the medical sector with potential extension based on project 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