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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
Qualifications: Degree (Honors / Masters / PHD) in Statistics, Computer Science, Engineer or Mathematics or solutions Identify and implement data mining / statistics / machine learning techniques Validate and test
advantageous) Good applied statistics skills, such as distributions, statistical testing, regression, etc
(Power-BI advantageous) Applied statistics skills, such as distributions, statistical testing, regression, etc
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
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
Requirements: Bachelor's degree in Mathematics, Statistics, Computer Science, or related field Proven experience Data Analyst or similar role Proficiency in statistical analysis tools such as R, SAS, or SPSS Strong
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