Data Scientist
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D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline; equivalent professional experience will also be considered.br/ /lilibExperience: /b 10+ years of hands-on experience in data science, machine learning, advanced analytics, or a closely related field.br/ /lilibTechnical
Skills:
/b Advanced proficiency in Python and SQL, with strong hands-on expertise in Azure Databricks and PySpark.br/ /lilibMachine Learning: /b Extensive knowledge of machine learning methods, including anomaly detection, classification, clustering, explainable AI, and risk-scoring models applied to large-scale datasets.br/ /lilibDatabricks Platform: /b Proven experience with key Databricks capabilities, including MLflow, Delta Lake, Unity Catalog, and Databricks Workflows.br/ /lilibEngineering MLOps: /b Strong understanding of software engineering and MLOps practices, including Git, automated testing, CI/CD pipelines, model deployment, and lifecycle management.br/ /lilibWays of Working: /b Demonstrated experience delivering solutions within Agile development environments.br/ /lilibIndustry
Experience:
/b Background in healthcare, insurance, fraud detection, or the public sector would be highly advantageous.br/ /li /ul /p
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