Key Purpose
To develop unique, data-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in procurement, 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. This role specifically focuses on optimizing processes that involve external suppliers (procurement) but is not limited to this. A core focus would be to develop, implement and drive strategic procurement initiatives.
Areas of responsibility may include but are not limited toDevelopment and implementation of strategic procurement initiatives working closely with the procurement operations teams Optimize and automate supplier appointments and allocation for all claim types as services. Develop supplier scoring, coaching and evaluation algorithms that align supplier and business objectives Develop incentive models and strategies for suppliers Using generative AI to optimize business and procurement processes. Advanced Procurement (supplier) analytics Develop procurement fraud and audit models
Knowledge and SkillsStatistical and analytical skills (Advanced) Modelling skills (Intermediate) Programming Skills: SQL, Python (Intermediate) Microsoft Office (Excel, PowerPoint and Word) (Advanced) Experience using Generative AI (beginner) Management skills
Education and Experience
EducationMatric (Essential) Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
AMASSA/ FASSAMinimum Experience:
3+ years Research and Development experience within Insurance industry (Advantageous)
How To Apply
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Attach your Application letter, updated Curriculum Vitae (CV) and any supporting documents required.
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Use a professional subject line such as Application for "Indicate Position"
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Send your application before the closing date.
Note: Only shortlisted candidates are contacted.
