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Data Scientist III

Job in Stellenbosch, 7600, South Africa
Listing for: Capitec Bank
Full Time position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below

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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 !

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

Purpose Statement
  • To deliver the AI strategy to ensure Capitec can compete in a changing landscape where data science is a key future-oriented strategic differentiator.
  • To design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making.
Education (Minimum)
  • Honours Degree in Data Science
Education (Ideal or Preferred)
  • Masters Degree in Data Science
Knowledge and Experience

Experience

Minimum

NB. Length of experience required is conditional on the qualifications obtained

  • Master’s degree or equivalent in a quantitative discipline or STEM field e.g. Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning, plus 6yrs relevant experience
  • Or equivalent

Or

  • Honours Degree or equivalent and relevant technical qualifications, plus 8yrs relevant experience.
  • Experience in data science, machine learning and deployment of developed solutions
  • Business analysis and requirements gathering
  • Reproducible coding experience
  • Working with relational and non-relational databases
  • Experience in at least one ML language
  • Working in cloud environments
Ideal
  • Working with multiple teams to deliver predictive models into a production environment
  • Stakeholder management at Executive and senior management level
Knowledge

Minimum:

  • Deep understanding of state of the art and emerging principles and techniques in at least one discipline of data science, e.g., NLP, Deep Learning etc. and can teach to a broad and wide technical audience.
  • Underlying theory and application of machine learning models; able to understand underlying principles and theory and be able to teach others.
  • Familiarity with modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc).
  • Best practices for data science.
  • Ethical AI design principles.

Ideal:

Capitec Data Science lifecycle
Capitec Data Product Life Cycle

Skills
  • Analytical Skills
  • Attention to Detail
  • Communications Skills
  • Problem solving skills
  • Decision making skills
  • Interpersonal & Relationship management Skills
  • Planning, organising and coordination skills
Additional Information
  • Clear criminal and credit record

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

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