Fresh Vacancies at Discovery Limited

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

• Primarily handling Problem Incidents on the SNOW(Service Now) system raised by the Problem Management team (though may encompass other channels such as email or face to face interaction) by using knowledge of Discovery Health products, rules and systems to determine the validity of the reported issue. To facilitate this, the use and/or creation of ad hoc SQL / PLSQL reports to identify scope and risk of correctly reported problems is required. If issue is not a training issue or a known system function, then log this issue with the appropriate steam in the HBS / or even broader DHS team for correction with the BA/ Developer involved in the project/change. Impact analysis of said problem is also required.

Areas of responsibility may include but not limited to:

• Problem analysis and investigation of reported problems using technical tools eg: SQL
• Clear up ambiguity regarding a problem by using in depth analysis
• If required, revert to stakeholders if technical issues require business decisions to proceed and answer any queries from the development team.
• Identify the cause of unexpected system errors and run the Impact analysis
• Liaise directly with developers and development managers to arrive at solutions
• Solution proposal

Personal Attributes and Skills

Behavioral skills

• Tenacity, Stress management, Persuasion, Client orientated, Analytical thinker

Technical Skills

• Analytical, Troubleshooting techniques, Business writing (reports) and presentations

Education and Experience

• Matric and/or relevant IT qualification
• Oracle SQL/PLSQL
• Product knowledge and understanding of the IT environment
• Minimum 3 years’ experience in an IT environment or Health Insurance Industry
• Understand SDLC process
• Technical knowledge of MS Office, SNOW (preferable) and Paradigm (preferable)

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Key Purpose

• The primary function of this role is to deliver the Discovery standard of professional, effective and efficient customer service in a contact centre environment. The role requires that the quality of service exceeds customer expectations and establishes constructive relationships with the client base whilst dealing with complex queries and providing accurate product information in line with standards and protocols.

Areas of responsibility may include but not limited to

• Providing telephonic and email support in the Technical Support Centre
• Responding to all queries, issues and problems raised internally and externally telephonically and via correspondence.
• Comprehensively understand and investigate complaints relating to policy, protocol and benefits.
• Tracking and identifying trends and revert with feedback to appropriate parties.
• Keeping accurate and comprehensive stats on a daily, weekly and monthly basis.
• Building and establishing relationships at all levels with external partners and internal departments to facilitate expeditious resolution of queries.
• Keeping abreast of Discovery Employee Benefits schemes and in-house products, protocols and policies. Data analysis and reporting to various stakeholder

Personal Attributes

• High Sense of urgency and understanding of efficient and effective client service
• High EQ
• Excellent communication skills, verbal and written
• Action orientated
• Career Ambition
• Strong Interpersonal skills
• Customer focus
• Peer relationships
• Takes initiative
• Decision making
• Ability to work independently and within a team environment
• Problem solving
• Judgement

Education and Experience

• NQF level 6 equivalent qualification. 
• Knowledge of Employee Benefits (Retirement Schemes & Group Risk schemes), Discovery in-house products and protocols (advantageous)
• 1 year customer service experience in a Contact Centre environment
• Track record of client query resolution
• Excellent written and verbal communication skills in English
• Intermediate computer literacy in Microsoft Office
• Preference will be given to Employee Benefit experience
• Must be able to work on a Saturday
   

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Job Purpose

• The Executive Associate (EA) to the Chief Growth Officer (CGO) for Discovery Health is a senior, business critical role that acts as a strategic and operational extension of the CGO.
• The role exists to amplify the impact of the CGO, ensure the effective running of the CGO’s office, and drive complex, high visibility initiatives across Discovery Health’s Health New Markets portfolio. This role blends executive governance, strategic administration, and hands on leadership of cross functional projects that require direct CGO and Executive oversight.
• The Discovery Executive Associate programme runs over two years and is renowned for providing a unique opportunity for the best EE talent to enjoy accelerated growth and development through working with and exposure to Discovery’s most senior leaders.

Areas of responsibility may include but not limited to

• If you have an entrepreneurial mind-set, are hungry for growth, appreciate calculated risks and can assume responsibility for bringing strategic projects to life, then this role will liberate you to realize your full potential. 

As an Executive Associate to the Chief Growth Officer your core accountabilities will be: 

Strategic Administration & Governance Leadership

• Own the smooth, disciplined running of the CGO office, ensuring focus, cadence, and follow‑through across competing priorities.
• End‑to‑end responsibility for governance forums relating to Health New Markets team (Exco, SteerCos, Board committees), including:
• Agenda design
• Board‑quality packs and collation of pre-reads
• Minutes, matters arising, and action tracking
• Act as the primary integrator between the CGO, HNM Managing Executives, leaders in various cross-functional teams.
• Ensure timely, decision‑ready submissions of Board and Exco documentation, with strong strategic narrative, execution clarity, and risk articulation.
• Operate as a trusted filter, sounding board, and challenger to the CGO.

Strategic Cross‑Functional Programmes

• Lead and run largescale, high‑impact strategic initiatives that span multiple functions and business areas.
• Own initiatives that require direct CEO, or Health Exco engagement.
• Preparation of proposals for strategic partnerships, new business and new products for both external and internal distribution.
• Translate strategy into execution through:
• clear problem framing
• integrated workplans
• dependency and risk management
• executive‑level progress reporting
• Proactively unblock bottlenecks, resolve trade‑offs, and course‑correct to protect outcomes.

Strategy, Insight & Executive Decision Support

• Partner with the CGO and Health New Markets Managing Executives to shape:
• growth strategy and emerging opportunities for the portfolio
• required investments (capex, resources, including trade‑offs)
• strategic priorities
• Lead or commission detailed research and targeted analysis to support executive and Board decision‑making
• Collate, analyze and draw insights on business performance for the HNMs area
• Prepare Exco- and Board‑quality presentations, speeches, and strategic narratives.

 Thought Leadership, Communications & External Profile Support

• Support and shape the CGO’s internal and external thought‑leadership presence, including:
• LinkedIn content
• Keynote presentations
• Industry and partner forums

Personal Attributes and Skills

Discovery’s Executive Associates must be exceptional. They must demonstrate: 

• Exceptional strategic judgment, analytical capability, and commercial acumen
• Strong executive presence with ability to influence and challenge at C‑suite level
• Comfort operating in high ambiguity and pace
• Ability to move seamlessly between big‑picture strategy and execution detail
• Outstanding written, verbal, and visual communication skills
• High levels of discretion, resilience, and personal integrity
• Ability to work effectively and deliver within a complex matrix organisation
• Exceptional analytical, problem solving and research skills
• A passion for personal development and growth with high learning potential

Education and Experience

• Relevant degree/s at post graduate level or higher, with a strong analytical or business focus.
• 5-8 years experience in top tier consulting, corporate strategy or senior cross-functional programme leadership roles
• Extensive business and/or technical experience with a proven track record of innovation, entrepreneurship, delivery and performance.
• Prior health, financial services, or regulated‑industry experience (advantageous)
   

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Key Purpose

• Discovery Stores bring the Discovery brand to life by delivering a tangible, differentiated, and memorable experience for clients. The store network is a strategic asset for the business, playing a critical role in revenue generation, brand engagement, and client conversion.
• This role forms part of the Senior Leadership Team within Discovery Stores and is accountable for driving revenue growth, conversion optimisation, and performance improvement across the national store network. The role focuses on leveraging operational and commercial data to generate actionable insights, inform strategic decision-making, and enhance overall store performance.
• The incumbent will be responsible for ensuring that the store network maximises value from its core revenue streams through data-driven performance diagnostics, commercial analysis, and targeted growth initiatives, translating insight into clear commercial strategies and measurable outcomes.

Areas of responsibility may include but not limited to:

Commercial Performance Management

• Monitor and optimise revenue performance across all stores.
• Track and improve key metrics including:
• Revenue per store
• Revenue per consultant
• Conversion rates across store activities.
• Identify underperforming areas and implement targeted improvement plans.

Data Analytics & Reporting

• Design and manage dashboards and performance reports for the Discovery Stores network.
• Translate large datasets into clear insights and recommendations for leadership.
• Provide regular performance reporting to the Head of Discovery Stores and executive stakeholders.

Conversion & Growth Optimisation

• Identify opportunities to improve conversion from:
• Health checks to financial product engagement
• Leads to sales
• Footfall to engagement.
• Run structured performance experiments and measure impact.

Strategic Support

• Provide commercial insight to support strategic decision-making.
• Model revenue scenarios and assist in evaluating new initiatives or store opportunities.
• Conduct market research to identify areas of opportunity and compile business proposals to support these opportunities.

Cross-Functional Collaboration

• Work closely with:
• National Operations Manager
• Regional Store Managers
• Central Marketing teams
• Finance and analytics functions
• Ensure alignment between marketing initiatives and store-level execution.

Competencies

• Values Driven
• Optimistic
• Learns on the Fly
• Resilient
• Instils Trust
• People Savvy
• Drives Results
• Problem Solver

Education

• Completed tertiary business-related qualification (NQF 7 or equivalent)
• Completed honors or master’s level tertiary qualification, MBA (advantageous)

Experience

• 3-5 years’ experience in commercial analytics, business performance, and/or delivering strategy
• 3 -5 years’ experience in consulting at a consulting firm
• Experience analysing sales, retail, or multi-site operational data
• Demonstrated experience in achieving new business growth and sales targets through strategic interventions
• Experience building dashboards and performance reporting frameworks
• Experience translating data insights into practical business decisions