Markets. Education - Minimum: BSc/BCom in IT, Statistics, Accounting, Mathematics, Actuarial Science,
capabilities. Evaluation and Feedback: Assess trainee performance and progress through exercises, quizzes concepts in a simple and understandable manner to trainees. This includes verbal communication during training materials, and active listening to understand trainee needs and questions. Possess a solution-oriented delivery methods to accommodate the diverse needs of trainees and respond to unexpected situations or challenges sessions. Patience is crucial when working with trainees who may have varying levels of experience or proficiency
content and delivery styles required to train new trainees and develop the existing agent capabilities. Can content and delivery styles required to train new trainees and develop the existing agent capabilities. Can Grad bay as per expectations · Coach his/her own Trainees on observed Knowledge and Skill gaps · Manage
content and delivery styles required to train new trainees and develop the existing agent capabilities. Can Gradbay as per expectations Coach his/her own Trainees on observed Knowledge and Skill gaps Manage Attrition
to analyse data and derive insights utilizing statistical and actuarial models to inform product development decisions •A bachelor's degree in (Actuarial Science/Statistics/Mathematics) or equivalent qualification at NQF
risk. Key Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Strong proficiency in programming understanding of machine learning algorithms and statistical modeling techniques. Experience working in a
risk. Key Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to Qualifications: Degree in Data Science, Computer Science, Statistics, or a related field. Strong proficiency in programming understanding of machine learning algorithms and statistical modeling techniques. Experience working in a
visualization techniques and platforms. Applying statistics, machine learning, and analytical approaches Systems, Actuarial Sciences, Applied Mathematics, Statistics). Candidates without a Computer Science, Engineering theoretical predictive modelling, mathematical and statistical skills. Proficient in SQL. 5 years of experience advantageous. Highly analytical with strong maths and statistics skills. Experience using business intelligence
degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data
Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc