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  • Posted: Dec 16, 2021
    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

     

    Data Scientist

    Key Purpose

    The key purpose of this role is to use big data, predictive analytics and up to date AI techniques in order to identify and detect potential fraud within the Discovery Health business. The successful candidate will need to be able to mine large data sets to find and present new insights to business

    Areas of responsibility may include but not limited to

    • Connecting with a multitude of stakeholders to understand the data in a healthcare and fraud context

    • Mining large structured and unstructured datasets for data exploration to find new insights to detect healthcare fraud

    • Research and application of the most up to date machine learning algorithms and AI techniques

    • Present data and model findings in a way that provides actionable insights

    • Implementing results for use in both the internal and external environments

    • Monitoring model performance

    • Improve processes and databases where opportunities arise

    Personal Attributes and Skills

    Technical skills core:

    • Expert in data science programming languages such as R, Python, Scala

    • Expert in data manipulation skills including SQL to extract, transform and load data

    • Experience in interactive data exploration and data-driven story telling

    • Understanding and application of Big Data and distributed computing principles

    • Hands on experience with Big Data systems will be preferred

    • Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data

    • Ability to formulate problem statements and develop a plan for tackling the problem

    • Strong ability to communicate findings and recommendations from data (visual, verbal and written)

    • Integration and implementation experience

    Behavioral skills:

    • A passion for data exploration and analytics

    • Self-starter

    • Willingness to learn and grow exponentially

    • A restless curiosity towards data and uncovering unknown correlations

    • Ability to work cohesively in a team environment and balance multiple priorities

    • A team player who can work alone when required and without supervision

    • High level of attention to detail, resilience, enthusiasm, energy and drive

    • Positive, can-do attitude

    • Ethical and able to maintain confidentiality and manage boundaries

    • Aligned to Discovery values and core purpose

    Education and Experience

    • Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR

    • Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning

    • Other analytical qualifications will also be considered if accompanied by the relevant experience

    EMPLOYMENT EQUITY   
                                 
    The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

    Method of Application

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

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