to apply data mining techniques and conduct statistical analysis to large, structured and unstructured A degree in either engineering, data science, statistics, computer science, or any other quantitative of structured and unstructured data. Advanced statistical/machine learning with applications in the financial
Analytical, Python Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience:
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field 4 years of experience
Have a degree in Actuarial Science, Mathematics, Statistics or similar 4-6 years of experience as a Data
Have a degree in Actuarial Science, Mathematics, Statistics or similar 5 years of experience as a Data Scientist
Assistant is Qualifications and Experience: BSc Hons Statistics/Informatics, Computer Science, B.Eng. (Computer
Bachelor's degree in Business Administration, Statistics, Mathematics, Computer Science, or a related
Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering 5 years of data engineering
processes Qualifications and Experience: Degree in Statistics/Computer Science/ Engineering/ Mathematics (or
processes Qualifications and Experience: Degree in Statistics/Computer Science/ Engineering/ Mathematics (or