Senior Data Scientist

Full Time
  • Post Date: July 17, 2019
  • Apply Before: July 17, 2020
Job Description

Role Purpose:

Create and deliver data-driven solutions that add business value through the use of statistical models, machine learning algorithms, data mining and visualization techniques.

Experience and Qualifications:

  • Degree in Mathematics, Economics, Statistics, Engineering, Computer Science, Computer Engineering or another quantitative field (preferably a master’s or PhD).
  • Minimum an honours degree (preferably a master’s or PhD) in a quantitative discipline that includes significant exposure to mathematics (linear algebra and calculus), statistics and computer science (preferred).

Competencies required:

  • 5-8 years’ data analysis experience within an insurance environment
  • Extensive experience with at least one programming language (e.g. Python), statistical package (e.g. R) and database language (e.g. SQL)
  • Deep theoretical understanding of statistical methods and machine learning techniques
  • Demonstrated ability to apply statistical methods and machine learning techniques to solve business problems
  • Demonstrated skills in formulating business problems to enable statistical modelling
  • Demonstrated ability to select the right statistical tools and techniques for the job
  • Experience translating statistical findings into business recommendations

About the company:

A South African based financial services group listed on the South African stock exchange, the JSE. The group operates in the market through several client-facing brands. The company operates on the African continent, United Kingdom, and India through a direct presence, strategic partnerships and joint ventures.

The company’s purpose is to improve the lifetime Financial Wellness of people, their communities and their businesses. Financial Wellness is a continuous process of planning and management for individuals, households and businesses, with the aim of affording expenses and achieving goals over one’s lifetime.