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:

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 disciplines of data science, translating active business data into usable strategic information. To analyze and optimize 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.

Responsibilities:

Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.

Candidate Requirements:

Qualifications & Experience:

1. Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 4+ years relevant work experience.
2. OR Honours Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 3+ years relevant work experience.
3. OR Master's Degree in Data Science or relevant discipline (e.g., Mathematics, Statistics, Engineering, Computer Science).

Knowledge:

1. Functional business area (e.g., Credit) environment knowledge and experience.
2. Regulatory requirements (e.g., NCR, POPIA, SARB).
3. Business analysis, requirements gathering, translating into business requirement specifications, and designing and delivering business solutions.
4. Modern software development best practices.
5. Working in cloud environments (e.g., Azure, AWS).
6. Different operating systems/databases/programming languages.
7. Predictive modeling techniques (statistical and machine learning) and deployment.
8. Extracting, aggregating, cleaning, and analyzing data from large relational databases.
9. Data Science lifecycle and applicable skills within.

Functional Skills:

1. Programming; Database manipulation | Data Exploration Visualization.
2. Statistical model development.
3. Advanced computer literacy and programming (Office Suite, working on different OS environments, e.g., working on remote Linux environment and dockerizing machine learning models).
4. Building and deployment of models.
5. ML language, for example, SQL, SAS.
6. Version Control.
7. Ability to productionalize and solution design.
8. Ability to learn, understand, and apply complex machine learning methodologies.
9. Functional domain skill of the (e.g., credit) environment.
10. Capability to identify, define, and solve the business problem, i.e., application of domain know-how and problem-solving.
11. Cloud computing (navigating on cloud vs. on-premises).

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.