Data Scientist
Capitec Bank
Stellenbosch
1d ago

Purpose Statement

  • To assist in building and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape where data science is a key future-oriented strategic differentiator.
  • To help automate and improve processes through data science, and create new products and services, and assist with improved decision making based on data.
  • To design and implement machine learning models to better understand the drivers of business performance and enable improved management decision-making.
  • Education (Minimum)

  • Honours Degree
  • Education (Ideal or Preferred)

  • Masters Degree
  • Knowledge and Experience

    Knowledge :

  • Solution and experimental design for model development
  • Machine learning development and underlying theory and assumptions of techniques.
  • Predictive modelling techniques (statistical and machine learning) and deployment
  • Source control systems e.g. Git, Bitbucket, or SourceTree
  • Relational database technologies
  • Data Science lifecycle and applicable skills within
  • Experience :

  • If Honours only and not Masters degree then 1-2 years’ experience building machine learning models in Python / R
  • Business analysis and requirements gathering
  • Reproducible coding experience and working with source control tools e.g. Git, Bitbucket
  • Experience in deploying models into production
  • Spark, Hadoop or similar big data coding experience
  • Working in remote environments, e.g. Docker, Linux
  • Working in cloud environments, e.g. Azure, AWS
  • Knowledge :

  • Data analysis
  • Solution and experimental design
  • Machine learning model architecture (technical design and implementation processes)
  • Specialist in one or more specific machine learning competencies, e.g. NLP, Deep Learning etc.
  • Understanding of : Underlying theory and application of machine learning models must be able to understand underlying principles and theory and be able to teach others.
  • Best practices for data science Ethical AI design principles Capitec Data Science lifecycle Capitec DPLC

    Experience :

  • Data science, machine learning and integration of developed solutions.
  • Skills

  • Analytical Skills
  • Attention to Detail
  • Communications Skills
  • Numerical Reasoning skills
  • Problem solving skills
  • Analysing
  • Applying Expertise and Technology
  • Delivering Results and Meeting Customer Expectations
  • Presenting and Communicating Information
  • Writing and Reporting
  • Learning and Researching
  • Additional Information

  • Clear criminal and credit record
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