Active Jobs at Discovery Limited

Key Purpose

• To effectively and efficiently manage and grow relationships between Discovery CEB and all stakeholders e.g. Brokers as well as servicing department (Admin), Quotes, Accounts, Claims and Underwriting, Franchises, Brokers Consultants and clients e.g. brokers, employers and members. Also to ensure that quality service is delivered to these Stakeholders. To be present in the broker’s office to promote and protect Discovery’s retirement fund business.

Areas of responsibility may include but not limited to

• The Service Consultant needs to establish, grow and maintain relationships with CEB clients.
• When problems occur, the Service Consultant needs to find the best possible solution to ensure that the problem is solved as efficiently and effectively as possible, aligned to business practices while ensuring that the least amount of damage is done to the relationships of the parties involved.
• Present Installation Package - explain documents, SLA’s as well as roles and responsibilities to broker and employer.
• Present admin changes - explain documents, rate change, issue minutes and processes.
• SC to monitor or communicate progress / feedback or resolution regarding query to client / broker or Franchise.
• SC to arrange meeting or courtesy call to ensure escalation is addressed
• SC to resolve these with the assistance of the relevant team member. 
• SC to regularly visit the broker / client for feedback as agreed per SLA
• Represent the retirement fund business and address all gaps and concerns relating to the business
• To present and review admin reports for broker and trustee meetings
• SC assist broker/Client with web functionality and drive usage
• SC to meet with Franchise to address any queries on their portfolios as and when necessary.
• SC to ensure meetings are arranged with all brokers and employers where applicable during the course of the year
• All meetings must be minuted and saved on the Drive.

Personal Attributes

• Leading and Supervising
• Planning & Organizing skills
• Working with People - Communication
• Persuading and Influencing
• Adhering to Principles and Values – Self management
• Delivering Results and Meeting Customer Expectations
• Coping with Pressure and Setbacks
• Relating and Networking
• Team work and analytical skills
• Communication
• Problem solving
• Initiative and enterprise
• Learning
• Technology

Education and Experience

• Matric - essential
• 3 - 5 years Employee Benefits, Retirement Funds, Umbrella Fund experience – Essential
• NQF level 5 or similar is advantageous
• Relevant Industry Qualifications – Wealth Management, Introduction to Retirement Funds – Advantageous
• MS Office – Advanced Excel Skills, Retirement Fund and Umbrella Fund operations, Accounting, Investments,
• Full compliance and legislative universe relating to employee benefits, FAIS and Umbrella Funds.
   

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About the Position

• The key purpose of this role is to work within a Data Science team in researching, developing, and implementing Machine Learning, Natural Language Processing (NLP), and Large Language Model (LLM) systems. This includes building systems from prototype through to production, evaluating their effectiveness, and developing and maintaining data pipelines and integrations. The role requires close collaboration with data scientists, developers, system architects, and operations teams, working with significant stakeholder engagement and interest throughout the process.

Responsibilities include

• Work within a specialised team of data scientists and developers to deliver, maintain, and expand machine learning, NLP, and LLM systems.
• Develop and implement reusable data pipelines for structured, unstructured, text, and document data.
• Build reusable ML and LLM components, micro-services, and data solutions.
• Ensure all pipelines and components maintain compliance with privacy, security, compliance, and data quality standards.
• Stay updated on the latest technologies and software to ensure fit-for-purpose solutions.
• Collaborate with system architects, data scientists, and business stakeholders in operations and healthcare contexts.
• Implement strategies for post-production model monitoring in collaboration with data scientists.
• Document code, participate in code reviews, and provide progress updates.

Personal Attributes and Technical Skills

• Significant experience with Python
• Experience with SQL
• Experience with containerization (Docker, Kubernetes)
• Experience building and hosting microservices
• DevOps/DataOps and CI/CD skills
• Advantageous: experience designing table structures and schemas
• Advantageous: experience working with diverse data teams to understand data sources and build integrations
• Advantageous: skills in Java, Scala, or R
• Advantageous: experience working with unstructured text and document data (HTML, PDF etc.) and related pipelines to store and query this data
• Advantageous: Experience with Azure or GCP
• Strong planning, organizational, scoping, and time management skills
• Strong analytical, critical, conceptual thinking, and problem-solving skills
• Strong oral and written communication skills
• Self-motivated and proactive, with a strong ability to identify and tackle challenges and solve problems independently, demonstrating a keen entrepreneurial spirit.
• Resilient and optimistic

Education and Experience

• Degree in Computer Science, Engineering, Software Engineering, or similar, or equivalent experience.
• 3-5 years’ work experience as a Developer or Data Engineer, with a Python focus.
   

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Key Purpose

• To support with onsite marketing and increased awareness at targeted employers, driving increased new business growth and retention

Areas of responsibility may include but not limited to

• Interact face to face with Discovery Health Medical Scheme (DHMS) members and potential members on site
• Represent Discovery Health and fulfil the role of DHMS brand ambassador
• Assist with troubleshooting member queries relating to benefits, cards, product, new business etc
• As a technical product expert, be able to market and educate members on DHMS, on a one on one and group basis
• Conduct product presentations to groups of potential members
• Assist on-site with marketing activations to attract and engage with potential new members, building interest in the brand and the product/s
• Engage with Discovery stakeholders in order to resolve queries
• Assist with new business implementations by engaging one on one with members on site

Personal Attributes and Skills

Behavioural Competencies:

• Values driven
• Competitive drive to work hard and perform on the job
• Positive and enthusiastic attitude
• Proactive and takes initiative
• Eagerness to learn
• Well developed communication skills (oral and written)
• Ability to position and communicate messages clearly
• Presentable
• Convincing and can influence
• Resilient and persistent
• Well developed interpersonal skills
• Good organisation and time management
• Good problem solving skills
• Observant and detail orientated

Education and Experience

• Marketing, administration, or business qualification
• Matric