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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Job Description
- The successful candidate will be expected to lead, manage and mentor a team of Telesales consultants to reach required targets consistently. A teamk Leader is also required to facilitate any necessary course of action to achieve this purpose from all direct and indirect reports.
- Sales team leaders are also required to orient new sales staff and focus on improving the job performance and sales of existing staff. Sales team leaders may also delegate tasks to sales staff that they are grooming and./or developing. Team leaders are also required to assign tasks to the team members with the best skills for the job and guide staff members to ensure the work is done well. All non adherence and poor performance must be dealth with in line with the companys code of conduct.
Key purpose
- To lead, manage and mentor a team of Telesales consultants to reach required targets and ensure that staff participate in the rewards and recognition progamme. The Team Leader must also ensure that staff have a development plan , this should be part of the performance discussions
Key Outputs
The successful candidate will be expected, but not limited to perform the following key outputs:
- Leading and managing a team of 11 – 13 telesales agents
- Performance Management, coaching and developing team.
- Drive staff to achieve required targets and is accountability for teams overall sales targets
- Assessment of consultants calls - QA.
- Assisting with interviews & Role plays.
- Dealing with escalated queries.
- Ensuring open communication and engagement to all.
- Adherence to internal policies.
- Inspire, motivate and support team.
Personal attributes and skills
- Excellent communication skills
- Sales Driven
- Quality Focused
- People-Orientated
- Attention to detail
- Strong Interpersonal Skills
- Strong Leadership skills
- Problem solving skills
- Decision making Ability
- Ability to handle complex and challenging situations
- Excellent time management skills
- Organizational awareness
- Ability to work within a team and drive the correct culture
Qualification & Experience
- Grade 12 – essential
- 4 years outbound/ Inbound experience – essential
- 3 years Team Leader/leadership experience
- Computer literate - MS Office, especially Excel – essential
- Regulatory Exam and NQF 5 FAIS credits
- BCOMM or related degree will be advantageous
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Key Purpose
- A highly skilled Senior Data Scientist who will provide the technical expertise to develop and integrate natural language processing (NLP), advanced large language models (LLMs), voice and image models to deliver business value leveraging generative AI. These innovative capabilities will enable unstructured autonomous decision-making processes, increase operational efficiency, and deliver personalized customer experiences.
- This Data Scientist needs to remain abreast of the latest AI models and be experienced enough to work independently in researching and selecting the most optimal model and implementing this successfully within the business context.
Areas of responsibility may include but are not limited to
- Project Delivery: By collaborating with contents specialists, data engineers and system architects, drive the deployment of solutions and delivery of projects from inception through to business adoption.
- Model Development and Integration: Deploy robust and scalable LLMs that are integrated into AI frameworks, enhancing natural language processing capabilities.
- Advanced Data Retrieval Integration: Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets.
- Automation Workflows: Design and implement automation workflows that improve speed and accuracy of processes, reducing manual intervention and operational costs.
- Performance Metrics and System Maintenance: Develop performance metrics to consistently evaluate the efficiency and accuracy of AI models. Actively monitor and maintain these systems to ensure they remain effective and adaptable.
- Regulatory Compliance: Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines, preparing documentation and reports as required for regulatory bodies.
- Experimentation: Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance.
- Future Trends and Industry Insights: Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards.
Knowledge and Skills
- SQL and working with databases.
- Python for data science and machine learning.
- Competent with TensorFlow, PyTorch, NLP and LLM packages – Advantageous
- Familiarity with Azure services – Advantageous
Education and Experience
Education:
- Matric (Essential)
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.
- Honours or Master's Degree in relevant field.
Minimum Experience:
- At least 5 years proven experience in a data science environment.
- Proven track record in implementing ML workflows at scale, particularly using LLMs.
- Proven track record in handling, analyzing, and extracting insights from large and complex datasets, particularly unstructured text data.
- Previous experience tuning open source and proprietary large language models – Advantageous
- Previous experience with Voice and Image models – Advantageous
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Key Purpose
- An intermediate Data Scientist that will help develop and integrate natural language processing (NLP), advanced large language models (LLMs), with a particular focus on the use of voice models, voice chat bots and conversational design. These innovative capabilities will enable unstructured autonomous decision-making processes that involve voice, increase operational efficiency, and deliver personalized, audible customer experiences.
Areas of responsibility may include but are not limited to
- Project Contribution: By collaborating with contents specialists, data engineers and system architects, contribute to the deployment of solutions and delivery of projects from inception through to business adoption, with a particular focus on Voice AI.
- Model Development and Integration: Deploy robust and scalable LLMs that are integrated into AI frameworks, enhancing natural language processing capabilities.
- Advanced Data Retrieval Integration: Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets.
- Automation Workflows: Design and implement automation workflows that improve speed and accuracy of processes, reducing manual intervention and operational costs.
- Performance Metrics and System Maintenance: Develop performance metrics to consistently evaluate the efficiency and accuracy of AI models. Actively monitor and maintain these systems to ensure they remain effective and adaptable.
- Regulatory Compliance: Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines, preparing documentation and reports as required for regulatory bodies.
- Experimentation: Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance.
- Future Trends and Industry Insights: Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards.
Knowledge and Skills
- SQL and working with databases.
- Python for data science and machine learning.
- Competent with TensorFlow, PyTorch, NLP and LLM packages – Advantageous
- Familiarity with Azure services – Advantageous
- Familiarity with Databricks – Advantageous
Education and Experience
Education:
- Matric (Essential)
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.
- Honour’s or Master’s Degree in relevant field - Advantageous
Minimum Experience:
- 2-4 years’ experience in a data science environment.
- Demonstrated ability to implement ML workflows at scale, particularly using LLMs.
- Experience in handling, analysing, and extracting insights from large and complex datasets, particularly unstructured text data.
- Previous experience tuning open source and proprietary large language models - Advantageous
- Previous experience with Voice AI models and conversational design - Advantageous
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Key Purpose
- To underwrite all cases for VitalityLife, our UK based Life Insurance company, within authority limits and all benefits taking into account medical, financial, territorial and vocational risks of new and existing business. To support dedicated Key Distribution partners and advisors through various communication channels. To underwrite more complex cases which could include medical reports, aviation questionnaires,etc.
Areas of responsibility may include but not limited to
- Building effective relationships with brokers, franchises and our internal system department to ensure successful execution of our deliverables and targets.
- Make effective decisions by applying underwriting knowledge and experience to ensure that the risks involved have been weighed up.
- Ensuring that the Underwriting system is efficient and effective by reporting systems difficulties to the relevant systems team.
- Demonstrate a bias for speed and execution in assessing and underwriting a minimum of 50 cases per day to ensure outcomes are delivered.
- Conduct accurate underwriting requirement setting within SLA in order to meet objectives
- Make Underwriting decisions on Level 1 and Level 2 cases for effective problem solving.
- Deal with underwriting related queries on the broker and franchises for better service delivery.
- Managing the underwriting production for the first pass and level 1 (Path) work and to make sure SLAs are met in order to ensure a smooth flow in the system.
Personal Attributes and Skills
- Nimble learning
- Optimizes work process
- Directs Work
- Decision Quality
- Deciding and initiating action
- Applying Expertise and Technology
- Analysing
- Delivering Results and Meeting Customer Expectations
- Adhering to Principles and Values
- Persuading and influencing
- Coping with extreme pressure and setbacks
- Presenting and Communicating Information
Education and Experience
Education/Experience:
- Matric/Grade 12 is essential
- Medical Diploma is advantageous
- 3 years’ experience in a financial Industry
Knowledge:
- Understanding VitalityLife products Advanced
- Financial Principles and Interpretation Intermediate
- Understanding VitalityLife Systems
- (SAM, Paradigm, AWD) Advanced
- UK specific insurance legislation Intermediate
- Medical Conditions Intermediate
- Understanding of Risk Management & Risk Assessment Inermediate
Skills:
- Computer literacy (MS word, Excel) Intermediate
- Communication skills (verbal & written) Intermediate
- Decision making / Independent thinking Intermediate
- Analysis of Information Intermediate
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Key Purpose
- The iOS developer will work on the Discovery application together with Product Owners from various business units, Business Analysts, UX/UI designers & Content Teams, System Architect, and managers to understand the overall business need and the requirements, design the system solution using various approaches and technologies, implement the designed solution in the system with high quality source code and technically support and maintain the deployed applications on dev, test and production environments.
- The IOS developers will support the projects throughout the project lifecycle, including requirements, design, implementation, release, and post release support.
Areas of responsibility but not limited to:
- The system development life cycle and can explain the developer’s role in each stage
- The defined system development tools, processes and workflows
- The distinction between business, functional and non-functional requirements and how to implement them
- The importance of delivering high quality source code and how to achieve it
- The technologies used and the systems components structure
- The domain and business terminologies and link them back to system implementations
The Senior iOS developer should be able to demonstrate that they can:
- Develop, test, and maintain the deployed application software with high quality
- Collaborate with product managers and designers to ensure a successful, high-quality product and great user experience
- Analyse, maintain and enhance existing application and troubleshoot issues with efficiency.
- Perform accurate development estimation
- Produce technical specifications and designs. Participate in new business development through ideation, prototype development, and project estimates
- Research new techniques, tools, and best practices and share that knowledge with the team and community
- Assist with quality assurance and provide comments
Competencies
- Excellent written and oral communication skills (English)
- Ability to work in a self-driven, complex environment with multiple and changing priorities
- Ability to focus on deadlines and deliverables
- Ability to think abstractly
- Ability and desire to quickly learn new technologies
- Clean code thinking
- Analytical and problem-solving skills
- Maintain high standards
- Self-starter who takes ownership, is accountable, and can work under minimum supervision
Technical Skills
- Project Management
- Business Writing Skills
- Presentation and Facilitation Skills
- Process Mapping
- Software testing pack design, functional testing
Methodologies
- Waterfall and Agile
- Knowledge of OO design principles and development patterns
Tools
- SoapUI (SOAP) / REST client (JSON)
- XCode
- Atlassian tool suite (Jira, Confluence)
Technologies
- iOS
- UML
- XML, JSON
- SOAP and REST Web Service Development
Other
- Software architecture
- JAD sessions
- Data modelling techniques
Education and Experience
Education:
- Matric (Essential)
- BSc Information Sciences or Diploma
- Software Engineering related degree/qualification (Advantageous)
Minimum Experience:
- 4+ years’ experience developing iOS applications
- 2+ years’ user interface analyst experience
- Business experience and product knowledge (Advantageous)
- Experience in Objective-C is beneficial (Advantageous)
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Key Purpose
- To deal with administration and queries relating to the claims process and to communicate further requirements on claims.
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.
- 6 month claims administration experience is advantageous
- An intermediate understanding of long term Insurance in a UK environment
- An intermediate understanding of Microsoft Office
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Job Purpose
- The Junior Technical Project Manager is responsible for technical analysis for the specific projects that they are assigned, and the oversight of the relevant developers who will build out the functionality within the bank app and middleware team.
Areas of responsibility may include but are not limited to
- Managing the technical aspects of the build within the team
- Managing the timeous delivery of the build within the team
- Applying and adhering to the Project Management principles within a technical environment
- Effectively resolving issues
- Engaging with business and various stakeholders
- Identification and management of risks and opportunities
- Communication of project progress to management
Personal Attributes and Skills
- Sound knowledge and understanding of Banking.
- Sound knowledge of project management methodologies, and the key areas of project management.
- Experience in managing systems projects.
- Ability to grasp concepts of a technical nature quickly, with a sound understanding of the underlying business environment.
- Ability to multi-task, managing several projects concurrently.
- The ability to understand the big picture and strategic objectives, displaying organisational sensitivity.
- The ability to take ownership and display high levels of responsibility and initiative.
- Excellent communication skills, both formal and informal.
- Ability to manage people, with strong interpersonal and relationship building skills.
- Excellent facilitation and presentation skills.
- Strong negotiation skills
Education and Experience
- A completed degree in Bcom or Information technology.
- 1-3 years’ experience in IT would be advantageous.
- Experience in managing implementation of APP channel project and/or experience in different types of technology related to banking systems is advantageous.
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Key Purpose
- The integration analyst is responsible for ensuring that data transfers and flows among the various systems within the Discovery ecosystem seamlessly integrate with one another. Through the process of collecting, analysing and documenting integration requirements, that are aligned to architectural principles, the analyst will ensure robust solutions are formulated to meet the needs of all stakeholders.
Objectives of this role
- Document requirements: Ensure that all requirements are documented, as well as ensure that all artifacts are maintained and complete at all times.
- Data integrity and quality assurance: perform data mappings to ensure maintenance of data quality and integrity
- Monitor failures: Ensure that all solutions have monitoring in place to effectively identify failures so these can be resolved promptly thus ensuring optimal system performance
- Automate manual processes: Identity opportunities to automate manual processes and recommend improvements to enhance system interoperability
- Optimize Processes: Continuously monitor and analyze data to identify opportunities for improvement and efficiency.
Responsibilities
- Understand the data pipeline process throughout the ecosystem as well as the various data sources that exist
- Develop solutions that are aligned with architectural principles
- Ensure the data is accurate and free from errors by removing duplicates, correcting errors, and dealing with missing values.
- Monitor the integration processes continuously to identify errors and issues so these can be resolved timeously
- Collaborate with data analysts on a continuous basis to understand changes within the data landscape
- Be proactive in identifying opportunities for enhancement, optimisation and efficiency within the environment
- Social solutions with all impacted stakeholders to ensure awareness of the change is well understood
- Contribute to enhancing the integration architecture principles for the environment.
Education and Experience
- Bachelor's degree in IT or Quantitative fields or related fields
- Postgraduate degree (simply an advantageous)
- 5 to 8 years integration analyst experience
Preferred skills and competencies
- Documentation using Confluence/Wiki
- Strong communicator verbally and in writing
- Expert database knowledge in SQL
- Experience working on large and complex datasets.
- Advanced knowledge of XML and Json structures
- Advanced knowledge of batch processing
- Strong problem-solving skills
- Understanding data quality and data governance concepts
- Self-management of tasks and deliverables
- Prior leadership experience
- Change Management experience
- Engagement with Senior stakeholders
go to method of application »
Job Description
- The successful candidate will be expected to lead, manage and mentor a team of Telesales consultants to reach required targets consistently. A teamk Leader is also required to facilitate any necessary course of action to achieve this purpose from all direct and indirect reports.
- Sales team leaders are also required to orient new sales staff and focus on improving the job performance and sales of existing staff. Sales team leaders may also delegate tasks to sales staff that they are grooming and./or developing. Team leaders are also required to assign tasks to the team members with the best skills for the job and guide staff members to ensure the work is done well. All non adherence and poor performance must be dealth with in line with the companys code of conduct.
Key purpose
- To lead, manage and mentor a team of Telesales consultants to reach required targets and ensure that staff participate in the rewards and recognition progamme. The Team Leader must also ensure that staff have a development plan , this should be part of the performance discussions
Key Outputs
The successful candidate will be expected, but not limited to perform the following key outputs:
- Leading and managing a team of 11 – 13 telesales agents
- Performance Management, coaching and developing team.
- Drive staff to achieve required targets and is accountability for teams overall sales targets
- Assessment of consultants calls - QA.
- Assisting with interviews & Role plays.
- Dealing with escalated queries.
- Ensuring open communication and engagement to all.
- Adherence to internal policies.
- Inspire, motivate and support team.
Personal attributes and skills
- Excellent communication skills
- Sales Driven
- Quality Focused
- People-Orientated
- Attention to detail
- Strong Interpersonal Skills
- Strong Leadership skills
- Problem solving skills
- Decision making Ability
- Ability to handle complex and challenging situations
- Excellent time management skills
- Organizational awareness
- Ability to work within a team and drive the correct culture
Qualification & Experience
- Grade 12 – essential
- 4 years outbound/ Inbound experience – essential
- 3 years Team Leader/leadership experience
- Computer literate - MS Office, especially Excel – essential
- Regulatory Exam and NQF 5 FAIS credits
- BCOMM or related degree will be advantageous
go to method of application »
Key purpose of The Dental Risk Manager Role
- Members of the Health Professional Unit (HPU), Value Based Care (VBC) team are responsible for health Professional risk management. The unit plays a key role in defining and implementing benefit changes and innovations by developing, implementing, and monitoring initiatives that achieve the best possible clinical outcomes with the highest levels of cost efficiency to meet Strategic Risk Management and, Discovery health Objectives.
- The Dental Risk Manager in the HPU unit is responsible for identifying, assessing, and mitigating clinical, operational, and regulatory risks related to dental services. The role ensures compliance with healthcare legislation, professional standards, and internal policies to protect patients, clinicians, and the organisation. The Risk Manager leads incident management, root cause analyses, and corrective action plans following adverse events or complaints. They work closely with dental teams, quality, and governance structures to promote a culture of patient safety and continuous improvement. The role also provides risk reporting, training, and expert advice to support safe, high‑quality dental care delivery.
Key outputs
- Build a deep understanding of risk management factors that inform client scheme sustainability
- Develop both the clinical and practice management insight into issues that impact care delivery
- Monitor, with the support of the SRM team, key metrics reflecting stakeholder cost and care utilization experience.
- Proactively identify and develop creative, shared value proposals for presentation to risk management and governance forums to address identified client scheme costs, administrative and stakeholder sentiment challenges
- Work within a shared value approach, to ensure successful development and implementation of approved projects
- Develop mechanisms to track the ongoing operations of initiatives and ensure they continue to deliver on intended objectives
- Work closely with Discovery Health service, operational and system teams to ensure the highest levels of responsiveness and service excellence to stakeholders
- Develop and maintain strong relationships between DH and identified stakeholders to for initiative consultation and implementation
Essential work experience and knowledge required:
- At least 5 years of Health Funding or Corporate Health Care experience
- At least 5 years of Product Modeling and Design experience
- At least 5 years’ experience leading successful implementation of business initiatives or strategy
- 3 to 5 years’ experience in the health care industry
- 3 to 4 years clinical training experience
- Skilled working with Microsoft Office: Excel, Word, PowerPoint
- Understanding of underlying care delivery process
- Consulting acumen
- Knowledge of Discovery Health products and coding
- Strong analytical acumen to be able to develop, guide implementation and track value-based care initiatives and the ability to work collaboratively with analytical teams – advantageous
Education:
- Medical degree or a degree in Analytics
Skills required:
- Structured thinking and problem solving
- Organized and time management
- Collaborative team member
- Confidence in doctor and society engagement with the support of the HP engagement team
- Flexibility in handling multiple projects simultaneously
- Taking initiative and working under own direction; self-starter
- Upholding ethics and values; demonstrates integrity
- Analytical and financial modeling
Personal Attributes
- Values Driven
- Optimistic
- Learns on the Fly
- Resilient
- Instils Trust
- People Savvy
- Drives Results
- Innovation, enthusiasm, and drive
- Inspirational leader who lives the values and believes in the core purpose
- Humble leader
- Treat others with care, dignity, and respect
- Ensures that the business case prevails
- Have a bias for action
- Understand that people are Discovery's greatest asset
- Build an environment for optimal performance
- Set ambitious goals and implement the highest standards
- A leader who is a student and Master of Communication
- A leader that never stops learning
- A leader who has and express strong beliefs and views, yet are open-minded and support the chosen path
go to method of application »
Key Purpose
- A Junior Data Scientist that will help develop and integrate natural language processing (NLP) and advanced large language models (LLMs) to enhance AI frameworks. These innovative capabilities will enable unstructured autonomous decision-making processes, increase operational efficiency, and deliver personalized customer experiences.
Areas of responsibility may include but are not limited to
- Project Contribution: By collaborating with contents specialists, data engineers and system architects, contribute to the deployment of solutions and delivery of projects from inception through to business adoption.
- Model Development and Integration: Deploy robust and scalable LLMs that are integrated into AI frameworks, enhancing natural language processing capabilities.
- Advanced Data Retrieval Integration: Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets.
- Automation Workflows: Design and implement automation workflows that improve speed and accuracy of processes, reducing manual intervention and operational costs.
- Performance Metrics and System Maintenance: Develop performance metrics to consistently evaluate the efficiency and accuracy of AI models. Actively monitor and maintain these systems to ensure they remain effective and adaptable.
- Regulatory Compliance: Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines, preparing documentation and reports as required for regulatory bodies.
- Experimentation: Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance.
- Future Trends and Industry Insights: Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards.
Knowledge and Skills
- SQL and working with databases.
- Python for data science and machine learning.
- Competent with TensorFlow, PyTorch, NLP and LLM packages – Advantageous
- Familiarity with Azure services – Advantageous
- Familiarity with Databricks – Advantageous
Education and Experience
Education:
- Matric (Essential)
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.
- Honour’s or Master’s Degree in relevant field - Advantageous
Minimum Experience:
- 1-2 years’ experience in a data science environment.
- Demonstrated ability to implement ML workflows at scale, particularly using LLMs. - Advantageous
- Experience in handling, analysing, and extracting insights from large and complex datasets, particularly unstructured text data. - Advantageous
- Previous experience tuning open source and proprietary large language models - Advantageous
go to method of application »
Key Purpose
To drive an end to end customer service experience by:
- 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.
Areas of responsibility may include but not limited to
- 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 circumstance
- Ability to work, day and night shift
Personal Attributes and Skills
- 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
- All Africa Health Insurance product and benefit knowledge
- Africa Health Insurance Systems
- Time Management
- Verbal and written communication
Education and Experience
- Matric
- Basic MS Office Knowledge
- Minimum of 12 months customer service experience
- Minimum of 12 months inbound call centre experience in a customer service environment
- Ability to speak to Portuguese
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Key Purpose of the role
- This Learnership leads to a nationally recognised FETC: Long Term Insurance NQF Level 4 qualification; which consists of structured learning components combined with practical/workplace experience in the Financial Services industry.
Areas of responsibility may include but not limited to
- Call Centre: Medical Aid client servicing, claims, new business and health benefits administration
Personal Attributes and Skills
- Innovative/ critical thinking/ and problem solving skills
- Good attention to detail and levels of accuracy
- Sets high standards for quality and quantity and works in a systematic, methodical and orderly manner.
- Time management and planning skills
- Ability to effectively prioritize and execute tasks in a high pressure environment
- Ability to work independently and in a team orientated environment
- Service driven, a sense of urgency and a team player.
- Adapts to changing circumstances and handles criticism well and learns from it.
Education and Experience
- Grade 12 is essential.
- Maths (Minimum Level 4 – 50%)
- English (Minimum Level 4 – 50%)
- Maths Literacy (Minimum Level 5 - 60% )
- 2nd language (Minimum Level 4 – 50%)
- May have an incomplete tertiary qualification (advantage)
Specific Requirements:
- Not be engaged in post Matric studies or formal employment;
- Not have completed any previous Learnership.
- Be between the ages of 18 and 25 years;
- Have effective communication skills in the written & verbal English language;
- Possess basic computer skills mainly MS Excel & MS Outlook
Method of Application
Use the link(s) below to apply on company website.
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