Current Jobs at Discovery Limited

Job Description

• Identifying sales opportunities.
• Answering inbound calls timeously and making required outbound calls
• Co-ordination of own administration
• Identifying sales opportunities
• Maintaining accurate details and statistics of all queries

Key purpose

• This position is based in the Discovery Connect Sales call centre, and reports to the sales team leader. The successful individual will be required to conduct Discovery Insure telesales.

Key Outputs

The successful individual will be required to perform on, but not limited to the following key outputs:

• Achieve Insure Sales target
• Communication to members telephonically via fax and email
• Attending to general administration
• Conduct Financial Needs Analysis
• Achieve quality target
• Overcome objections
• Adhering to service level agreements

Personal attributes and skills

The successful individual will be required to demonstrate the following competencies:

• Target Driven
• Team Player
• Goal orientated
• Self motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

• Matric
• At least 2 years sales experience, preferably in an outbound telesales environment
• Minimum 2 years short-term product knowledge, Discovery Insure Knowledge is an advantage
• PC literacy, email, word, excel
• Tertiary qualification an advantage
• NQF5 and RE5 qualification

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Key Purpose

• The Production Support Manager will lead the Production support team responsible for supporting internal and external user groups across Digital Channels, Back Office Applications, and Line of Business systems. This role involves managing production issues, proactively monitoring systems, and ensuring effective communication and escalation processes to both internal operations and external user groups. Providing regular reporting of system incidents, production issues and system performance and stability.

Responsibilities and Objectives of this role

• The individual in this role will report directly to the Head of System Delivery.

Key Responsibilities

• Lead and mentor a team of 3 Support Analysts to provide first-line support to Operations and external user groups.
• Establish and enforce structured Production Issue Management and Incident Management processes.
• Proactively monitor system performance, implement alerting mechanisms, and coordinate rapid response to potential disruptions.
• Act as the communication bridge between IT and all impacted user groups during incidents, ensuring timely updates and transparency.
• Conduct root cause analyses for incidents and oversee the implementation of corrective and preventative measures.
• Deliver weekly and monthly reports highlighting production issues, system incidents, trends, and system stability metrics.
• Collaborate with development, infrastructure, and vendor teams to drive faster incident resolution and systemic improvements.
• Develop and maintain knowledge base documentation and user-facing FAQs to reduce recurring queries.

Required Competencies and Experience

• Proven experience in a Production Support / IT Operations leadership role.
• Deep understanding of digital platforms, back-office systems, and enterprise application environments.
• Strong knowledge of incident, change, and problem management methodologies
• Demonstrated ability to work in high-pressure environments while maintaining clarity and focus.
• Excellent communication, stakeholder management, and team leadership skills.
• Experience with monitoring tools and ticketing platforms (e.g., Jira).

Education

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• ITIL certification or relevant Service Management training.
   

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Key Purpose

• To demonstrate inspirational leadership, promoting an environment of high energy, motivation and business focus. Being accountable for the team's business plans, improve the activity and performance of each team member, and to build, manage and develop relationships with internal stakeholders as well as external clients and Financial Advisers. As well as to increase the sales of the product range through technical up-skilling of Financial Advisers and their Assistants and through providing business support to the Financial Advisers.

Areas of responsibility may include but not limited to

• Vest all new financial advisers with Discovery processes and assistance with SmartAdvice
• Review new business pipelines – follow-up and tracking of business
• Assist with quotations
• On-going product support to financial advisers
• Dealing with queries and providing information on a range of sales and service issues
• Liaising with internal departments on processing issues
• Building relationships with internal departments to ensure superior service is offered to clients
• Keeping up-to-date with competitor product and service offering and industry developments
• Participating in proactive sales and marketing initiatives
• Exceed annual targets for Business Unit.
• Provide Marketing tools and training to assist financial advisers in selling of Discovery products.
• Aid Business Consultants in growing their Business.
• Measure monthly performance targets for financial advisers
• Must have an overall awareness of the financial services market and can relate the work with the team.
• Must understand and support the team in developing sound product knowledge and in their specialist consulting roles.

Competencies

• Have a track record of sound people management skills, ideally in a sales environment.
• Ability to effectively demonstrate coaching, supervision and development skills.
• Have a sound understanding of sales skills
• Have strong leadership and influencing skills
• Must have a high level of self-motivation and be achievement orientated
• Must have the ability to cope in changing and difficult circumstances, maintain a "can-do" attitude within the team
• Ability to demonstrate excellent communication skills, which can be adapted to meet the requirement in diverse circumstances
• High level of confidence
• Results driven
• High Attention to detail
• High degree of Flexibility
• Self-motivated individual
• Persuasiveness
• Good relationship building skills
• Effective time management

Education and Experience

• Minimum: Matric with Maths & English
• 3 years broker consulting experience with a proven track record
• Minimum: A relevant degree. ( Business Degree, or Diploma)
• 2-3 years corporate experience
• Beneficial: Insurance Qualifications (e.g. CPF, RE1, RE 5).
• Knowledge of Discovery products would be a strong advantage
• Sound knowledge of Insurance Industry (Short Term, Health, Risk & Investment)
• Knowledge of underwriting process
• Broker consulting experience in an insurance company or investment house
• An understanding of financial planning
• Knowledge of MS Office Suite

Other

• Own insured transport, cell phone and driver’s license
• Willingness to undertake business travel in Gauteng

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Key Purpose

• To provide a strong administrative and legal support function to the Recoveries and Liabilities team to ensure maximum litigation efficiencies. 

Areas of responsibility may include but not limited to

• Achievement of monthly business targets.
• Identify all viable matters to be litigated.
• Accurate and timely administration of:
• Arbitration process
• Litigation process
• Litigated Invoice Payments
• Preparation and submission of litigation referral documentation. 
• Management and follow up of outstanding litigation payments. 
• Management of litigation settlements and banking. 
• Preparation of litigation meeting packs and management of meeting outcomes.
• Weekly preparation and analysis of Litigation data. 
• Assistance with Collections of outstanding monies as required.
• Assistance with all other administrative functions within the legal department as required. 
• Stakeholder engagement with clients and brokers
• Adherence to risk and compliance requirements
• Teamwork, self-management, and alignment with Discovery values

Education and Experience

• Matric (Essential)
• Paralegal Certificate or LL. B qualification (Essential).
• Minimum of 3 years’ experience in the short-term insurance industry in the recovery and/or liability departments or a corporate legal environment managing a panel of attorneys (Essential)
• In depth knowledge of Civil Procedure and Law of Delict (Essential).
   

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Key Purpose

• The main purpose of this role is to use data analytics skills to enhance retention and distribution strategies, improving business processes, identify product opportunities, assist overviewing product implementation specs and vetting scenarios to ensure products are implemented as designed and that administrative system values are actuarially sound.

Responsibilities and Objectives of this role

The successful applicant will be responsible for but not limited to the following broad job functions:

• Using data analytics skills to optimise business processes, new business volumes and enhance retention and distribution strategies
• Be involved in developing new innovative product ideas and analysing experience to aid the pricing team
• Building MI data visualisation dashboards to help senior management making decisions affecting retention and distribution strategies
• Planning for new products, serving as the link between systems and actuarial & ensuring products are built as required
• Review new product specifications and implementation actuarial vetting scenarios
• Analyzing servicing scenarios and identifying possible system constraints on product design
• Ongoing involvement in addressing individual policy queries and issues
• Assisting with ad-hoc investigations and analyses including quantifying the financial impact of possible misalignment of actuarial specification and system implementation
• Applying actuarial knowledge to solve non-standard problems

Required Competencies

• Self-starter able to show initiative and drive projects to completion with guidance.
• Applying Expertise and Technology
• Analysing
• Creating and Innovating
• Working with People

Education and Experience

Essential

• Qualified Fellow Actuary
• MS Excel – Proficient
• Database experience (SQL)
• Must have experience with statistical software (R and/or Python)
• Programming experience and understanding. (e.g. VBA)

Advantageous

• Industry experiences applying ML/ regression models in analytics
• Previous systems work or software testing/ coding experience.
• Invest and/or Life insurance 3 – 10 years’ industry experience

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Key Purpose

• The successful individual will be required to provide the best direct to client service, by identifying the motor, household and home needs of our clients and presenting the best sales opportunities.

Areas of responsibility may include but not limited to

• Achievement of monthly sales targets
• Conduct financial needs analysis for clients to provide sound financial advice
• Accurate, timely administration on relevant system
• Communicate telephonically and via email with clients on queries related to outbound calls made
• Adhering to service level agreements to ensure sales consistency in the department
• Stakeholder engagement
• Adherence to risk and compliance requirements
• Teamwork, self-management and alignment with Discovery values

Personal attributes and skills

The successful individual will be required to demonstrate the following competencies:

• Target Driven
• Team Player
• Goal orientated
• Self-motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self-managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

Essential Requirements:

• Matric
• RE5 qualification
• Minimum 1-2 years’ sales experience

Advantageous Requirements:

• Tertiary qualification
• Class of business certificate
• Continuous Professional Development (CPD) certificate
• FAIS Credits - full qualification – Short term Insurance

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Job Description

• Identifying sales opportunities
• Answering inbound calls timeously and making required outbound calls
• Co-ordination of own administration

Key purpose

• This position is based in the Discovery Connect Sales call centre, and reports to the sales team leader. The successful individual will be required to conduct Discovery Life telesales.

Key Outputs

The successful individual will be required to perform on, but not limited to the following key outputs:

• Achieve Life Sales target
• Communication to members telephonically via fax and email
• Attending to general administration
• Conduct Financial Needs Analysis
• Achieve quality target
• Overcome objections
• Adhering to service level agreements

Personal attributes and skills

The successful individual will be required to demonstrate the following competencies:

• Target Driven
• Team Player
• Goal orientated
• Self motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

• Matric
• At least 1year sales experience, preferably in an outbound telesales environment
• Minimum 1 year Life product knowledge, Discovery Life Knowledge is an advantage
• PC literacy, email, word, excel
• Tertiary qualification an advantage
• NQF5 and RE5 qualification

go to method of application »

Job Description

• Identifying sales opportunities
• Answering inbound calls timeously and making required outbound calls
• Co-ordination of own administration

Key purpose

• This position is based in the Discovery Connect Sales call centre, and reports to the sales team leader. The successful individual will be required to conduct Discovery Life telesales.

Key Outputs

The successful individual will be required to perform on, but not limited to the following key outputs:

• Achieve Life Sales target
• Communication to members telephonically via fax and email
• Attending to general administration
• Conduct Financial Needs Analysis
• Achieve quality target
• Overcome objections
• Adhering to service level agreements

Personal attributes and skills

The successful individual will be required to demonstrate the following competencies:

• Target Driven
• Team Player
• Goal orientated
• Self motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

• Matric
• At least 1year sales experience, preferably in an outbound telesales environment
• Minimum 1 year Life product knowledge, Discovery Life Knowledge is an advantage
• PC literacy, email, word, excel
• Tertiary qualification an advantage
• NQF5 and RE5 qualification

go to method of application »

Key Purpose

• Lead the technical development, testing, and implementation of advanced Large Language Model (LLM) based projects and related technologies to deliver end-to-end data science and AI products within the organization.
• Work closely with cross-functional teams and business partners to design, build, and deploy scalable solutions that will directly impact staff and customers.
• Create 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.

Areas of responsibility may include but not limited to

• Lead the design, development, and deployment of LLM - and generative AI-based solutions that address large-scale and complex problems and materially drive the company’s global product offerings and strategy forward.
• Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.
• Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself).
• Conduct research and development of speech-to-text and audio-based language models, integrating with LLM pipelines where applicable.
• Conduct experimental research on the use of LLMs in real-world company applications to ensure that design and development decisions are made scientifically and optimize for and balance all business requirements. These include accuracy, scalability, efficiency, reliability, safety, and cost-effectiveness.
• Translate strategic direction into technical product definitions and roadmaps.
• Participate actively in internal and external communities discussing and designing policies for the ethical use of AI and ensure your team’s work meets ethical AI standards.
• Contribute substantially to a culture of innovation, leading the prototyping and development of novel methodologies and approaches. Provide strong thought leadership in this regard.
• Communicate complex technical concepts to executives and non-technical stakeholders effectively.
• Demonstrate strong emotional intelligence by understanding and uplifting team members and skillfully managing challenging situations with composure.
• Advise other teams in the business on best practice based on your experience.
• 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

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 adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• 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 Computer Science with solid experience in statistical modelling, data mining and machine learning, OR
• 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
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• A minimum of 3 - 5 years’ work experience in a data science position

Technical skills additional (advantageous)

• Experience with cloud platforms such as GCP, Azure, or AWS
• Experience with tools such as Whisper, DeepSpeech, OpenAI or HuggingFace
• Experience in sourcing and combining data from both structured and unstructured sources
• Experience with Google Tensor flow
• Familiarity with MLops practices and tools
• Proven tack record of Data Science or AI project delivery
• Deep understanding of LLMs and experience with models like GPTs, LLaMa, Gemini etc

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Key purpose

• The Content Lead: Insurance is responsible for the content deliverables of Discovery Life and Discovery Insure. The Content Lead combines the creativity and skill of a specialist writer with leadership, organisational and problem-solving abilities to meet the content objectives of each business. Reporting to the Head of Content, the Content Lead oversees the day-to-day content planning, generation and execution of content development. The Content Lead supervises freelance writers, with the responsibility to create compelling thought leadership, brand and social media content for Discovery’s investment, insurance and employee benefit offerings. The Content Lead plays a key role in coordinating, planning and collaborating with various internal, marketing, editorial and project teams to deliver high-quality content for various target audiences and platforms.

As the Content Lead, responsibilities include the following, but are not limited to:

• Developing quality content across multiple platforms and formats
• Meeting with editorial and project teams on the various insurance brands, and social media and PR teams to brainstorm and develop content ideas for all media channels
• Planning and managing daily content operations for the portfolio
• Collaborating with the Head of Content to understand content priorities and solutions
• Presenting content opportunities and solutions to heads of brand, social media and PR
• Supervising freelance writers and other content producers, as required for different projects and briefs
• Managing project plans, schedules, work flow data and related administration 
• Identifying unique content opportunities in line with the key messages and priorities as stipulated by business
• Identifying opportunities for content that will be suitable and relevant for a media audience
• Collaborating with a broader team to identify opportunities that will build the thought leadership position of experts and leaders in the business
• Researching and overseeing development of content for various executive LinkedIn profiles
• Identifying opportunities where data insights from business can be leveraged in content
• Assisting the team in conducting interviews with a wide range of internal and external stakeholders to produce content according to client briefs
• Developing and managing content plans according to content and marketing strategies
• Assisting the team in developing content in various forms, including press releases, opinion pieces, website content, media responses and reports 
• Project managing large content projects when required 
• Working with and providing support to the Head of social media on social media content
• Working with various internal and external stakeholders, including clients and suppliers 
• Managing briefs for video and photography shoots, as well as design agencies 

In this role, the Content Lead is responsible for ensuring continuous improvement and professional development, including:

• Fostering an environment conducive to cross-functional skills transfer and coaching freelance writers where required
• Cultivating an environment where creativity and innovation are encouraged
• Maintaining professional and technical knowledge and keeping abreast of industry trends
• Contributing to team success by ensuring team commitment and cohesion
• Valuing individual contributions and showing respect for others
• Respecting diversity and encouraging an environment that values inclusivity.
• Builds and manages operational relationships with internal stakeholders
• Engage with senior business colleagues to contribute to the brand or communication strategy
• Researches local and international trends and business enablers and makes recommendations on content and editorial plans and strategies
• Provides expert guidance to colleagues on industry best practice
• Participates in meetings and forums to share knowledge, encourage innovation and manage complexities.

Competencies

• Understanding of the financial, insurance and investments landscape
• Excellent writing skills, with experience in financial and technical writing an advantage
• Ability to develop content strategies, plans and campaigns targeted at various audiences 
• Ability to engage with senior management within the organisation 
• Ability to translate complex concepts into engaging and simple content 
• Ability to understand the voice of the organisation and adapt the tone of the content to the audience 
• Project management experience and skills 
• Attention to detail 
• Excellent interpersonal skills 
• Ability to work well in a team and oversee the deliverables of a team of writers
• Ability to work under pressure and meet deadlines 

Education and experience

• Matric and appropriate tertiary qualification (degree with marketing, communication, journalism, writing or language components) 
• Extensive writing experience
• Background in writing on financial, insurance and investment topics
• Minimum 5 – 8 years’ experience (PR, editorial, social media, communication, or agency experience) 
• Digital marketing and social media experience