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  • Posted: Nov 17, 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

    In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic and operational data. Using this data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to support Discovery’s world-class operations. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes.

    Areas of responsibility may include but not limited to

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

    • Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘ member- delight’ interaction strategies

    • 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 to business users

    • Monitoring model performance

    • Improve processes and databases where opportunities arise

     

    Personal Attributes and Skills

    • 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

    • 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

     

    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

    • A minimum of 2 years’ work experience in a data science position

     

    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

    Note: Never pay for any training, certificate, assessment, or testing to the recruiter.

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