Data Science Leader

4 days ago


Sandton, South Africa Capitec Bank Ltd. Full time
Job Description

We are seeking a highly skilled Data Scientist to join our team at Capitec Bank Ltd. as a Decision Scientist.

Responsibilities:
  • To drive business growth through the application of data science disciplines, creating new products and services, and improving processes.
  • To lead the analysis and optimization of data related to specific business areas, framing data analysis in terms of the decision-making process for questions or business problems posed by stakeholders.
  • To develop 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
  • Honours Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science Plus 3+ years relevant work experience. OR
  • Master's Degree in Data Science or relevant discipline e.g. Mathematics, Statistics, Engineering, Computer Science.

Knowledge:

  • Familiarity with functional business areas (e.g. Credit) and regulatory requirements e.g. NCR, POPIA, SARB.
  • Experience in business analysis, requirements gathering, translating into business requirement specifications and designing and delivering business solutions.
  • Working knowledge of modern software development best practices and cloud environments, e.g. Azure, AWS.
  • Predictive modelling techniques (statistical and machine learning) and deployment.
  • Data Science lifecycle and applicable skills within.

Functional Skills:

  • Advanced computer literacy and programming (Office Suite, working on different OS environments).
  • Building and deployment of models.
  • ML language, for example SQL, SAS.
  • Version control.
  • Ability to productionalise and solution design.
  • Cloud computing (navigating on cloud vs on-premises).

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