Centrax Systems

Data Scientist

Job description

Job Description


The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeout, robust and accurate delivery of relevant data science methods including responsibility of research, development, and monitoring of models. Effective communication between a range of stakeholders is vital to ensure delivery.


Requirements


Develop data science models fit for purpose to solve business problems Research and application of new data science techniques fit for purpose to solve real world problems Rapidly test and iterate different data science algorithms Ownership of model monitoring statistics and trigger points to decide model retraining parameters. Contribute into the MLOps process to successful product ionize models with MLOps Engineers Mining large structured and unstructured datasets for a multitude of companies with different data structures Usage of data science to find new insights to inform healthcare strategies and develop product, there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc. Performing basic data analytics ad hoc to extract core data insights Present data and model findings in a way that provides actionable insights Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context Improve processes and data outcomes where opportunities arise


Requirements


Develop data science models fit for purpose to solve business problems Research and application of new data science techniques fit for purpose to solve real world problems Rapidly test and iterate different data science algorithms Ownership of model monitoring statistics and trigger points to decide model retraining parameters. Contribute into the MLOps process to successful product ionize models with MLOps Engineers Mining large structured and unstructured datasets for a multitude of companies with different data structures Usage of data science to find new insights to inform healthcare strategies and develop product, there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc. Performing basic data analytics ad hoc to extract core data insights Present data and model findings in a way that provides actionable insights Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context Improve processes and data outcomes where opportunities arise

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