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  • Posted: Jul 10, 2026
    Deadline: Not specified
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  • Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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    Actuarial Manager

    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 to:

    • Development 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 Skills:

    • Statistical 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

    Education:

    • Matric (Essential)
    • Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
    • AMASSA/ FASSA

    Minimum Experience:             

    • 3+ years Research and Development experience within Insurance industry (Advantageous)

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Discovery Limited on careers.discovery.co.za to apply

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