Data Scientist

About

Description

Understanding and interpreting business requirements and translating them into analytical reporting solutions. Develop actuarial / statistical models to enable data driven decision making. Identify appropriate models / algorithms to mine large datasets and develop rich insights into member behavior. Employ advanced data analytics and machine learning techniques to detect patterns in data to generate business insight

Responsibilities

• A degree in Actuarial Science, Statistics, Computer Science, Applied Math's or another quantitative field
• SQL (database querying) and data wrangling experience
• Previous Life Insurance experience is beneficial although not a requirement
• Experience with data visualization software such as Tableau, QlikView, Power BI or other will be highly advantageous
• Experience in applying machine learning algorithms in Python, R, SAS, or other statistical software would be advantageous
• A solid understanding of relational databases and data flows between systems
• Ability to create dashboards/ reports/ data visualization

Qualifications

• Bachelor's Degree

Application instructions:

• The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.