A top insurance provider is seeking a Statistical Data Scientist to join their team at their offices insights and recommend appropriate actions through statistical modelling and data analysis. Remuneration modelling Key Requirements: Degree in Actuarial Sciences, statistics, business sciences, business Mathematics. (Other degrees or Postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered CT’s and CA1. Minimum 2 years’ experience in statistical modelling/ analytical role Experience in Modelling
COORDINATOR:
Mathematics and Statistics graduates
Seeking
African citizen without a SAICA training contract or bursary with another training office.
Don't
Requirements: A Bachelor’s degree, Master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative Mathematics and operational research Physics Statistics as degree modules 8 years of relevant technology manipulating data sets and building statistical models Experience using statistical computer languages and strong real-life Demonstrated knowledge of advanced statistical techniques and concepts and experience with applications coordinating across teams Knowledge and experience in statistical and data mining techniques and querying databases
data-driven solutions for our organization. Using statistical analysis, data mining techniques, and machine identify trends, patterns, and correlations using statistical analysis and machine learning algorithms. 2. recommendations from data analyses. 5. Apply statistical techniques such as hypothesis testing, regression master's degree in Data Science, Computer Science, Statistics, or a related field. 2. Proven experience as exceptional attention to detail. 4. Proficiency in statistical analysis, data mining, and machine learning techniques
Baccalaureus in Computing or relevant field such as statistics, or computer science is required. Experience: Power BI) and statistical software (e.g., SPSS, SAS) may also be beneficial. Statistical Knowledge: A A solid understanding of statistical concepts and methods is important for data analysis. This includes includes knowledge of descriptive and inferential statistics, hypothesis testing, regression analysis, and
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
Science or Advanced Diploma/Bachelor's degree in Statistics or Mathematics or relevant equivalent qualification degree qualification in Actuarial Science or Statistics or Mathematics at NQF Level 8 will be an added
analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills Java or C++ is an asset Strong math skills (e.g. statistics, algebra) Analytical mind and business acumen presentation skills Problem-solving aptitude BSc statistics
recent graduate with a degree in Mathematics, / Statistics / Data Science / or a related quantitative field through interpretation Degree: Mathematics, / Statistics / Data Science / or a related quantitative field analytical tools (advantageous) Experience with statistical software (advantageous) Excellent communication