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  • Posted: Jun 7, 2022
    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...
    Read more about this company

     

    Actuary (Data Scientist)

    Key Purpose

    The Individual Life Analytics team is responsible for strategic and impactful projects for the business. The focus of this role will be to support development and implementation of data science projects in the Advanced Analytics (Data Science) function of the team. The role involves exposure to a wide range of business areas such as underwriting, claims, legal and other operations, as well as the wider Discovery Group.

    Areas of responsibility may include but not limited to

    • Mining large structured and unstructured datasets for data exploration to find new insights
    • Perform data investigations to inform operational efficiency and interaction strategies
    • Transform data into meaningful model inputs and data pipelines
    • Develop and refine predictive models such as fraud, underwriting and customer behavioural models
    • Support model implementation and monitoring of model performance
    • Further develop existing models and research new techniques to fully utilise the rich Discovery data universe
    • Participate in the wider Discovery Data Science community.

    Education and Experience

    Essential:

    • Matric with Mathematics
    • Honours Degree in either Actuarial Science, Data Science, Mathematical Statistics, Operations Research or Applied Mathematics with some experience in data science, computer science or regularly working with big structured / unstructured sets of data OR
    • Honours Degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining, machine learning or optimisation
    • At least 2 years of work related experience

    Advantageous:

    • 3-5 years of working experience as an Actuary in the Life Insurance industry
    • Master's Degree in Computer Science / Software Engineering / Data Science / Statistics / Operations Research / Applied Mathematics
    • 3-5 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
    • 3-5 years of working experience in Problem Solving and Data Analysis
    • Qualified / near-qualified actuary with recognised actuarial professional body, e.g. ASSA or IFoA
    • Experience in a big data environment such as Cloudera or similar

    Knowledge:

    • Intermediate to advanced SQL knowledge
    • Proficient in at least one of R, Python, Spark interpreters or similar

    Technical Skills and Knowledge

    Essential:

    • Intermediate to advanced SQL knowledge
    • Proficient in at least one of R, Python, Spark interpreters or similar

    Personal Attributes and Skills

    • Identifying and analysing trends
    • Adapting and Responding to Change
    • Results orientated and commercial thinking
    • Working with People
    • Deciding and initiating action
    • Applying Expertise and Technology
    • Proactivity and accountability
    • Advanced Proficiency in MS Word, MS Excel and MS Outlook
    • Analytical Skills
    • Statistical Skills
    • Creating innovating solutions to complex problems
    • Writing and Reporting

    Method of Application

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

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