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
master's degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science) 3 particularly Google Looker Experience with statistical analysis techniques and data modelling Familiarity patterns, and relationships within the data Apply statistical techniques and data visualisation methods to technologies in data analysis Expand knowledge of statistical analysis techniques, data modelling, and data
master's degree in a relevant field (Mathematics, Statistics, Computer Science, Data Analytics/Science) 3 particularly Google Looker Experience with statistical analysis techniques and data modelling Familiarity patterns, and relationships within the data Apply statistical techniques and data visualisation methods to technologies in data analysis Expand knowledge of statistical analysis techniques, data modelling, and data
teams. QUALIFICATIONS Education Requirements: • Graduate, Preference for B.E. / B.Tech with industry recognized teams. QUALIFICATIONS Education Requirements: • Graduate, Preference for B.E. / B.Tech with industry recognized
teams. QUALIFICATIONS Education Requirements: • Graduate, Preference for B.E. / B.Tech with industry recognized teams. QUALIFICATIONS Education Requirements: • Graduate, Preference for B.E. / B.Tech with industry recognized
hours
Primary Industry: Graduate
Secondary Industry: FM previously been part of SETA funded internship or graduate program
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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
Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree is preferred PyTorch, scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling