Decision Scientist

Capitec; Sandton; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A leading company in the banking industry seeks energetic and self-motivated individuals for a data science role. You will be responsible for solving business problems, optimizing data analysis, and implementing AI/Machine Learning strategies. A strong educational background in relevant fields along with practical experience is essential for this position.

Qualifications

• 4+ years relevant work experience with a degree or 3+ years with an honours degree.
• Functional business area knowledge is preferred.
• Experience in cloud environments.

Responsibilities

• Solve business problems and improve processes through data science.
• Optimize data related to business areas for decision-making.
• Build and deliver AI/Machine Learning strategy.

Skills

Programming

Statistical model development

Problem-solving

Data exploration

Data visualization

Education

Degree in Mathematics, Statistics, Data Science, Business Analytics, Engineering, or Computer Science

Honours Degree in the same fields

Master's Degree in Data Science or relevant discipline

Tools

SQL

SAS

Docker

Azure

AWS

Job description

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 the disciplines of data science, translating active business data into usable strategic information.
• To analyze and optimize data related to specific business areas, framing data analysis in terms of decision-making processes for questions or business problems posed by stakeholders.
• 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, or Computer Science plus 4+ years relevant work experience, or
• Honours Degree in the same fields plus 3+ years relevant experience, or
• Master's Degree in Data Science or relevant discipline (Mathematics, Statistics, Engineering, Computer Science).

Knowledge

• Functional business area knowledge (e.g., Credit)
• Regulatory requirements (e.g., NCR, POPIA, SARB)
• Business analysis, requirements gathering, translating into business requirement specifications, and designing/delivering solutions.
• Modern software development practices.
• Experience working in cloud environments (Azure, AWS).
• Knowledge of operating systems, databases, programming languages.
• Predictive modelling techniques (statistical and machine learning) and deployment.
• Data extraction, cleaning, and analysis from large relational databases.
• Data Science lifecycle and related skills.

Functional Skills

• Programming, database manipulation, data exploration, visualization.
• Statistical model development.
• Advanced computer literacy (Office Suite, remote Linux environments, Docker).
• Model building and deployment.
• Knowledge of ML languages (e.g., SQL, SAS).
• Version control.
• Solution design and productionalization.
• Understanding and applying complex machine learning methodologies.
• Domain-specific skills (e.g., credit environment).
• Problem-solving and domain know-how.
• Cloud computing navigation (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.