advancement and potential for full-time employment post-internship.If you're passionate about technology
advancement and potential for full-time employment post-internship. If you're passionate about technology and eager
Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related field.
Interpreting data and analysing results using statistical techniques and provide on-going reports.
-Develop
analytics and other strategies that optimize statistical efficiency and quality.
-Acquire data from
Economics, Computer Science, Information Management, Statistics or a related field.
-Intermediate to advanced
Requirements include: Degree in Computer Science, Statistics, Mathematics, or a related field Proficiency data mining, machine learning algorithms, and statistical modeling Strong analytical and problem-solving
not be participating on another learnership or internship program;
not be participating on another learnership or internship program;
not be participating on another learnership or internship program;
not be participating on another learnership or internship program;
opportunities for process enhancements Employ statistical techniques to scrutinize data and produce actionable Possesses a solid foundation in data analytics and statistics with practical experience using data analytics in Computer Science, Information Management, Statistics, or a comparable discipline is required, with