We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Purpose Statement To solve business problems, create new products and services and improve processes through using the disciplinces of data science, translating active business data into usable strategic information. To look at ways of analyzing and optimising data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder.  To help build and deliver Capitec's AI/Machine Learning strategy, enabling data-led and improved business decision making. Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue or reduced costs.  Candidate Requirements

Qualifications & Experience:

Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science Plus 4+yrs relevant work experience. OR Hons Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science Plus 3+yrs relevant work experience. OR Masters Degree in Data Science or relevant discipline e.g. Mathematics, Statistics, Engineering, Computer Science.

 

Knowledge:

Functional business area (e.g. Credit) environment knowledge and experience Regulatory requirements e.g. NCR, POPIA, SARB  Business analysis, requirements gathering, translating into business requirement specifications and designing and delivering business solutions. With modern software development best practices. Working in cloud environments, e.g. Azure, AWS Different operating systems / databases / programming language Predictive modelling techniques (statistical and machine learning) and deployment  Extracting, aggregating, cleaning and analysing data from large relational databases Data Science lifecycle and applicable skills within 

 

Functional Skills:

Programming; Data base manipulation | Data Exploration Visualisation Statistical model development Advanced Computer literacy and programming (Office Suite, Working on different OS environments, e.g. working on remote Linux environment and dockerising machine learning models) Building and deployment of models ML language, for example SQL SAS Version Control Ability to productionalise and solution design Ability to learn, understand and apply complex machine learning methodologies Functional domain skill of the (e.g. credit) environment Capability to identify and define and solve the business problem i.e. application of domain know how and problem solving. Cloud computing (navigating on cloud vs on prem.)

 

Additional Information:

Clear credit and criminal record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.