Data Scientist II

• 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.

• Honours Degree in Data Science

• Masters Degree in Data Science or Statistics

• 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 3yrs relevant years' experience.

• 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

• Working with multiple teams to deliver predictive models into a production environment

• Deep understanding of one or more state of the art principles and techniques in at least one discipline of data science, e.g., NLP, Deep Learning etc. and can teach to others
• Underlying theory and application of machine learning models; able to understand underlying principles and theory and be able to teach others.
• Best practices for data science such as reusability, reproducibility, continuous monitoring, etc

• Familiarity with modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc)
• Ethical AI design principle
• Capitec Data Science lifecycle
• Capitec Data Product Life Cycle

• Analytical Skills
• Attention to Detail
• Communications Skills
• Problem solving skills
• Planning, organising and coordination skills
• Decision making skills
• Interpersonal & Relationship management Skills

• Clear criminal and credit record

Capitec Bank