years' experience with Portfolio (excluding Internships) Minimum of 1 - 3 years' experience working as opportunity In accordance with the POPI Act 4 of 2013 : All candidate personal information is treated years' experience with Portfolio (excluding Internships) Minimum of 1 - 3 years' experience working as
Strong attention to detail. Benefits of this Internship Include: • You gain real-world work experience certificates upon successful completion of the Internship. • It is short & convenient: you can work
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
the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states
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
3 years experience with Portfolio (excluding Internships)