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  • Posted: Dec 1, 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

     

    Claims Administrator

    Key Purpose

    To deal with administration and queries relating to the claims process and to communicate further requirements on claim

     

    Areas of responsibility may include but not limited to

    • Telephonic and written correspondence with clients, including doctors, claimant, financial advisors, solicitors etc.

    • Setting up of payment of benefit or medical report payments.

    • Notification to Re-assurers regarding details of the claims.

    • Administration of unemployment claims for waiver of premium.

    • Administration and preparation of documentation for claims.

    • Referral of claim for to management, forensics, chief medical officer for input.

    • Capture and report on claims statistics.


    Personal Attributes and Skills

    • Delivering Results and Meeting Customer Expectations

    • Coping with Pressure, Setbacks and Time Keeping

    • Deciding and initiating action

    • Working with People

    • Following Instructions and Procedures

    • Relating and Networking

    • Problem Solving

    • Presenting and Excellent Communication Skills

    • Adapting and Responding to Change

    • Achieving Personal Work Goal

     

    Education and Experience

    • Matric is essential

    • 1year client services experience within the life insurance industry is essential.

    • 2 years’ prior experience within a UK Insurance environment is advantageous.

    • An intermediate understanding of long term Insurance in a UK environment 

    • An intermediate understanding of Microsoft Office

    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.

    go to method of application »

    VHIHI Service Consultant

    Key Purpose

    • To take inbound calls, assist Africa Health Insurance members with queries and ensure first time resolutions or refer them to the appropriate area for resolution.


    Key Outputs

    • Dealing with multiple telephonic queries from Africa Health Insurance members, brokers, franchises, the public and internal parties
    • Dealing with all queries through to resolution
    • Keeping client up to date with their queries
    • Ensuring excellent quality service to all members
    • Completing administrative and repetitive tasks
    • Keeping accurate detailed stats of all queries/correspondence and reporting on it on a weekly basis
    • Logging of all queries and routing all enquiries to correct departments
    • Working on Africa Health Insurance systems
    • Keep up to date with policy and product changes
    • Assisting with written correspondence where necessary
    • Driving the values of first time resolution on all interactions
    • Applying logic in all circumstances


    Competencies

    • Behavioral Competencies
    • Presenting and communicating information
    • Delivering results and meeting customer expectations
    • Deciding and initiating action
    • Following instructions and procedures
    • Adhering to principles and values
    • Persuading and influencing
    • Analyzing
    • Coping with pressure and setbacks
    • Able to work between shifts allocated

    Knowledge

    • All Africa Health Insurance product and benefit knowledge
    • Africa Health Insurance Systems

    Skills

    • Time Management
    • Verbal and written communication

    Qualifications & Experience
    Essential

    • Matric
    • Basic MS Office Knowledge
    • Minimum of 6 months customer service experience

    Ability to speak to French

    • Advantageous
    • Minimum of 6 months inbound call centre experience in a customer service environment

    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.

    go to method of application »

    Administrator

    Key Purpose

    We are looking for Administrator within the Invest New Busines team who is client centric with a passion for Administration and who embrace our core purpose and and values through every interaction.

     

    Areas of responsibility may include but not limited to

    • Answer and resolve all calls receive via the New Business Call Centre

    • Must have the ability to investigate, resolve and provide feedback on all queries

    • Drive first time resolution

    • Capture details on Quality centre – service tracker for all queries and calls received into New Business team

    • Ability to display ownership on a query up to resolution

    • Filter or refer queries to the correct department and provide feedback to requestor

    • Capture or record all instructions and information on system

    • Maintain SLA within various work pools

    • To capture on Quality centre any possible fix or system issues

    • To check all relevant required documents is received eg correct application forms, valid bank statement, signed quote

    • Amend and update QA errors report when necessary

    • To Capture, Quality Assure and activate new investments, issue the relevant policy schedules, and assist with queries relating to the process

    • Answer and resolve all calls receive via the New Business Call Centre

     

    Personal Attributes and Skills

    Behavioural Competencies:

    • Drives Results

    • Values Driven

    • Optimistic

    • Learns on the Fly

    • Resilient

    • Instils Trust

    • People Savvy

    • Problem Solver

     

    Additional attributes

    • Quality Orientation/Attention to Detail

    • Planning and Organizing/ Work Management

    • Highly developed writing, communication, and presentation skills

    • Self-managed

    • Strong delivery focus

    • Highly adaptable and resilient (Able to work under pressure and Change Readiness)

    • Customer Service Orientation

    • Conflict handling

    •  Assertiveness

    • Time Management

    Education and Experience

    • Matric

    • Related BComm Degree is advantageous

    • A minimum of 2 years working experience in an Investment Administrator role within a New Business environment within the LISP industry/platform

    • Adequate LISP administration and process knowledge

    • Knowledge and understanding of Long-Term Insurance and Pension Fund Legislation on retirement products

    • General Computer Literacy with proficiency in Excel, Word and outlook

    • Experience using the following systems is an added advantage:

    • Compass

    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.

    go to method of application »

    Data Scientist

    What is the role

    In the Discovery Health Intelligence unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.

    The role entails building and recommending a foundational and sustainable data science system and architecture while considering the current environment. A key focus on scalability, abstraction and frameworks are crucial to succeed in the role. The role will initially build components and systems on the ground while still envision a long-term and sustainable architectural structure. The team is expected to scale rapidly with different leadership roles available. The role may include international exposure with Discovery partnerships.

    What you will do

    The successful applicant will be working within a highly specialized and growing team to enable delivery of advanced analytics system capability.

    Responsibilities will include:

    • Collaboratively design, specify and implement a full stack healthcare analytics solution underpinned by a project delivery focus

    • Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context

    • Understand healthcare business pipeline and assess where scalable healthcare analytics can enhance the pipeline

    • Devise strategy around roll out of healthcare analytics

    • Specify software and hardware decision making framework

    • Understanding large structured and unstructured datasets to recommend improvement to algorithms and technologies

    • Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines

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

    • Work with a range of stakeholders to ensure to present and apply insights effectively in the environment

    • Monitoring model performance

    • Improve processes and databases where opportunities arise

    What skills you will need

    Technical skills core:

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

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

    • Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)

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

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

    • Production environment machine learning and AI

    • DevOps/DataOps and CI/CD experience

    • Proficient understanding data manipulation skills including SQL to extract, transform and load data

     

    Technical skills additional:

    • Azure experienced preferred

     

    Behavioural skills:

    • A passion for data exploration and complex healthcare environment

    • 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

     

    Professional Qualifications & 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

    • 5 to 15 years of experience is preferred

    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.

    go to method of application »

    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

    Method of Application

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