Data Scientist: Insurance at Capitec Bank

Capitec Bank's Insurance Division is seeking a talented Data Scientist to join our team and play a pivotal role in shaping the future of insurance through data science. As a Data Scientist, you will have a significant impact on our AI strategy, enabling us to stay ahead in a rapidly changing landscape.

Your Impact:

• Drive automation and process improvement through data science.
• Create innovative products and services.
• Enhance decision-making based on data insights.
• Design and implement machine learning models to gain a better understanding of business performance.
• Ready to make a difference? Take the next step and apply your data science expertise in an exciting environment where your skills will shape the future of insurance.

Education (Minimum)

• Honours Degree

Education (Ideal or Preferred)

• Masters Degree

Knowledge and Experience
Minimum 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
• 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

Ideal 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