development team and the client. Create slideshows. BCom in Statistics or a Degree in Information Technology or
statuary, legal and other requirements Relevant BSc, BCom, BEng (Essential/Minimum) • Minimum Experience: 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
cleansing; Implement strategies that optimize statistical efficiency and quality; Supporting initiatives manipulation; Maintenance of the BI environment Forecasting BCom Information Technology; Relevant BI Certification
Daily update of statistics and project progress MDB qualification Minimum of a degree (BCom, BSc, Law or
Daily update of statistics and project progress MDB qualification Minimum of a degree (BCom, BSc, Law or
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
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