quality. Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive or Data Warehousing knowledge (advantageous) Statistical languages (such as R and Matlab) (advantageous)
Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience for data analysis and scripting. Knowledge of statistical analysis techniques. Familiarity with data modeling
capabilities of utilising data, machine learning, statistical and mathematical models to solve business problems model data preparation. Responsibilities: Build statistical models Manage the development of credit policies
to • Interpret data, analyse results using statistical techniques and provide ongoing reports for accurate collection systems and other strategies that optimise statistical efficiency and data quality. • Acquire data from
role involves developing and refining rules and statistical models to enhance contractability and improve Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field. Experience
role involves developing and refining rules and statistical models to enhance contractability and improve Education : Bachelor's degree in IT, Mathematics, Statistics, Data Science, or a related field. Experience
systems/platforms SaS and Hadoop Knowledge of statistical models Ability to map/document technical lineage review solution design Knowledge & Skills Statistical BSc (Honours/Masters) – especially for data related
systems/platforms SaS and Hadoop Knowledge of statistical models Ability to map/document technical lineage review solution design Knowledge & Skills Statistical BSc (Honours/Masters) – especially for data related
to apply data mining techniques and conduct statistical analysis to large, structured and unstructured discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation
pass all assigned tasks and tests as per the Internship Programme Successfully integrate yourself with