Snr Decision Scientist Role at The Capitec Bank | Apply Now!

Job Details

📍 Location: Stellenbosch, Western Cape
🏦 Company: Capitec Bank Ltd
💼 Job Title: Senior Decision Scientist
🧠 Job Level: Senior Specialist
📊 Work Area: Data Science, Analytics & AI

Company Overview

Capitec Bank is one of South Africa’s most progressive financial institutions, recognised for its commitment to simplicity, innovation, and client-centric banking. The organisation continuously invests in advanced analytics, artificial intelligence, and modern technology platforms to support data-driven decision-making across the business.

Capitec’s culture is anchored in strong values — Client First, Energy, and Ownership — and supported by collaborative teams, continuous learning, and meaningful career growth opportunities.

Role Purpose

The Senior Decision Scientist plays a critical role in solving complex business problems and shaping strategic decisions through advanced analytics, data science, and quantitative modelling.

This role focuses on transforming large volumes of business data into actionable insights that drive improved decision-making, new product development, operational efficiency, and revenue growth. You will contribute directly to Capitec’s AI and advanced analytics strategy by designing, deploying, and monitoring predictive and decision models across key business domains.

Key Responsibilities

• Solve business problems using data science, quantitative analysis, and traditional scoring techniques

• Translate business questions into structured analytical and decision-making frameworks

• Design, build, and deploy advanced analytics and machine learning models

• Develop predictive, classification, and scoring models to support strategic and operational decisions

• Contribute to Capitec’s AI strategy and enable data-led decision-making across the bank

• Analyse and optimise data for specific functional business areas

• Identify opportunities for increased revenue, reduced costs, and process improvement

• Collaborate with stakeholders to gather requirements and align analytics with business needs

• Ensure best practices in model governance, reusability, monitoring, and reproducibility

• Support continuous improvement of decision science methodologies and frameworks

Qualifications

Minimum

• Honours Degree in Mathematics or Statistics

Preferred

• Master’s Degree in Mathematics or Statistics

Experience and Knowledge

Minimum

• Experience length dependent on qualifications obtained

• Strong knowledge of statistical modelling and predictive analytics

• Experience with traditional scoring techniques, including logistic regression, binning, and missing value handling

• Practical experience with machine learning techniques such as neural networks, SVMs, and random forests

• Proficiency in at least one machine learning language (e.g. Python or SAS Viya)

• Business analysis and requirements gathering experience

• Understanding of financial services business environments, including risk and compliance

• Knowledge of regulatory frameworks such as NCR, POPIA, and SARB requirements

• Experience working in cloud environments (Azure, AWS) and large relational databases

• Functional business area exposure (e.g. Credit or Risk)

• Experience developing scorecards from scratch

• Strong understanding of machine learning theory and practical application

• Knowledge of decision science best practices, including model monitoring and lifecycle management

Advantageous

• Over 5 years’ experience in an analytical or decision science role

• Experience delivering predictive models into production environments

• Financial services or banking sector experience

• Credit industry and credit cycle exposure

• Familiarity with the bank decision science lifecycle

Skills

• Strong numerical reasoning

• Advanced analytical thinking

• Research and data exploration

• Problem-solving and decision-making

• Planning, organisation, and coordination

• Attention to detail

• Presentation and storytelling with data

• Stakeholder engagement and relationship management

• Clear and effective communication

Conditions of Employment

• Clear criminal record

• Clear credit record

Employment Equity

Capitec Bank is committed to diversity and inclusion. All appointments are made in support of the organisation’s Employment Equity objectives, ensuring fair and equitable representation.