in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
in developing, implementing, and optimizing AI models and algorithms that support our business objectives effectively. Key Responsibilities: Develop and deploy AI models and algorithms to address business challenges. solutions. Monitor and evaluate the performance of AI models, making improvements as needed. Stay current with statistical analysis, data mining, and predictive modeling. Excellent problem-solving skills and attention
your expertise to analyze data, develop pricing models, and contribute to strategic decision-making processes qualified Experience in Short-term pricing and GLM Modelling Strong analytical skills and proficiency in data
your expertise to analyze data, develop pricing models, and contribute to strategic decision-making processes qualified Experience in Short-term pricing and GLM Modelling Strong analytical skills and proficiency in data
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 plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
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 plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies
KPAs: Analytical Modeling: Translate business requirements into suitable analytical models, extracting trends to address short-term insurance metrics. Present model functionality to relevant stakeholders upon request oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence management analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
cases. Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. Presentation of data science opportunities and model outcomes to a variety (must). Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP and Skills Strong data exploration, analytical, modeling, and reporting skills Strong communication and
predictive models. Increase the profitability and efficiency of business units using predictive models and BI Experience in developing and implementing predictive models. Strong communication and presentation skills.
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. - Aid in creating internal audit models and reports to identify risks and risk areas - Documentation up to date and the maintenance of semantic model R 1000 - R 1001 - Annually