and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial in designing, implementing, and maintaining data models that facilitate efficient storage, retrieval, and requirements and translate them into robust data models.
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What you’ll do:models to support business requirements and data analysis
requirements and translate them into effective data models.
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required changing environment. Working knowledge on SQL a plus. Must be skilled in Java, front end automation (in-sprint)
statistical models and algorithms for actuarial assessments - Use of predictive modelling techniques to healthcare analytics. - Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. - Contribute to research and development projects relevant certifications are a plus. - A keen interest in AI and predictive modelling, with the ability to apply compliance knowledge in the healthcare industry is a plus. - Strong Organizational and Time Management Skills-
statistical models and algorithms for actuarial assessments - Use of predictive modelling techniques to healthcare analytics. - Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. - Contribute to research and development projects relevant certifications are a plus. - A keen interest in AI and predictive modelling, with the ability to apply compliance knowledge in the healthcare industry is a plus. - Strong Organizational and Time Management Skills-
CSS, C#, TypeScript, etc. Comfortable with data modelling, Qlik NPrinting, data mapping, back and front-end existing Qlikview models. Data Clean up from source. Developing new Qlikview models. Maintaining automation provided by the Head Developer when required. Monthly plus Basic salary performance bonus
procedures, products and advanced mathematical models that provide analytical support and interpret insights machine learning models; develop cutting-edge data science and machine learning models that drive business science, communicating data, domain modelling, predictive modelling, advanced analytics, Research and AI science and machine learning models to business problems, ensuring that models are integrated into products track record independent research and development a plus. Strong technical background, with expertise in
increase the lending opportunity size.
Enhance and rebuild existing models used for application scoring
communicating business process related knowledge through modelling; simulating and analyzing current and future states; PowerPoint, Visio, and Project)
communicating business process related knowledge through modelling; simulating and analyzing current and future states; PowerPoint, Visio, and Project)
communicating business process related knowledge through modelling; simulating and analyzing current and future states; Excel, PowerPoint, Visio, and Project) Scoping, sizing, and planning all business aspects of a solution experience in applying formal business process modelling or business analysis methodologies A deep understanding is essential. Experience in applying process modelling standards such as BPMN and ECP Know of and exposure of design specifications Understanding of data modelling and the ability to perform basic SQL database