possess a Master's/Bachelor's Degree Mathematics/Statistics/Computer Science or similar field with 3 years patterns, and relationships within the data. Apply statistical techniques and data visualization methods to technologies in Data Analysis. Expand knowledge of statistical analysis techniques, data modelling, and data Degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science). Experience/Skills large datasets efficiently. Experience with Statistical Analysis techniques and Data Modelling. Proficiency
Applicants must possess a Degree in Actuarial Science/Statistics/Mathematics or Engineering with proficiency in Qualifications – Degree in Actuarial Science, Statistics, Mathematics, or Engineering. Experience/Skills
hands-on experience with Machine Learning and Statistical Analysis. You must also be proficient with Python valuable information from large datasets. Apply statistical techniques and hypothesis testing to validate hands-on experience with Machine Learning and Statistical Analysis. Proficiency in Data Analysis and Modeling
Diploma. Experience/Skills – Strong background in Statistics, Machine Learning and Deep Learning Ability to
Degree or Bachelor's in Business Administration/Statistics/Mathematics/Computer Science, or a related field Bachelor's Degree in Business Administration, Statistics, Mathematics, Computer Science, or a related
Actuarial Science, Accounting, Mathematics, Statistics, Information Systems or Computer Science. Honours