Decision Scientist

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:

• To see what life at Capitec is all about and complete a short assessment, please click here.
• 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 disciplines of data science, translating active business data into usable strategic information.
• To look at ways of analyzing and optimizing 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+ years relevant work experience. OR
• Hons Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science Plus 3+ years 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 languages.
• Predictive modelling techniques (statistical and machine learning) and deployment.
• Extracting, aggregating, cleaning and analyzing data from large relational databases.
• Data Science lifecycle and applicable skills.

Functional Skills

• Programming; Database manipulation | Data Exploration Visualization.
• Statistical model development.
• Advanced Computer literacy and programming (Office Suite, working on different OS environments, e.g. working on remote Linux environment and dockerizing machine learning models).
• Building and deployment of models.
• ML language, for example SQL, SAS.
• Version Control.
• Ability to productionalize 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, define and solve the business problem i.e. application of domain know-how and problem solving.
• Cloud computing (navigating on cloud vs on-premise).

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.