Key Purpose
To develop unique, data-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in claims, sales and servicing processes using statistical, actuarial and data science techniques. This role offers the opportunity to apply machine learning and generative AI to solve a large variety of business problems practically.
Areas of responsibility may include but are not limited to
Developing supplier scoring and evaluation algorithms.
Optimizing and automating supplier appointments and allocation.
Using generative AI to optimize business processes.
Procurement (supplier) analytics.
Claims analytics.
Servicing analytics.
Enhancing Insure's fraud models.
Piloting and testing the latest AI innovations to generate efficiencies within Insure
Knowledge and Skills
Strong problem-solving skills
Analytical and technical skills
Solution-oriented mindset
Working with People
Presenting and Communicating Information
Deciding and initiating action
Writing and Reporting
Creating and Innovating
Modelling skills preferred (Intermediate)
Statistical and analytical skills (Intermediate)
Programming Skills: SQL, Python, Radar (Intermediate)
Microsoft Office (Excel, PowerPoint and Word) (Advanced)
Experience using Generative AI (beginner)
Education and Experience
Education:
Matric (Essential)
Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
Good progress on Actuarial exams, preferably academically qualified
Minimum Experience:
At least 1-3 years Research and Development experience within an Insurance industry (Advantageous)