Introduction Wits Health Consortium (Pty) Limited ("WHC") is a wholly-owned Company of the University of the Witwatersrand, Johannesburg (South Africa) under its Faculty of Health Sciences. WHC provides Faculty with a legal framework within which to operate the research and other activities necessar
Create financial models. Management Information analysis Business Information models Analysing data trends Adviceworx Operating Model & business processes. Building data models Automating data models Update dashboards (beneficial) Exposure to Power BI (Beneficial) Monthly plus Basic Salary
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
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 industry (e.g., finance, healthcare, retail) is a plus. What We Offer: Competitive salary and comprehensive
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 industry (e.g., finance, healthcare, retail) is a plus. What We Offer: Competitive salary and comprehensive
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 industry (e.g., finance, healthcare, retail) is a plus. What We Offer: Competitive salary and comprehensive
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 industry (e.g., finance, healthcare, retail) is a plus. What We Offer: Competitive salary and comprehensive
lengthy, cumbersome, consulting process, or a one-size-(doesn't quite)-fit-all off-the-shelf solution. to your back office challenges and environment, plus the speed of implementation and agility of a team
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity