Hot Jobs at Discovery Limited

Key Purpose

• In this role you will be involved in creating 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. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes.

Areas of responsibility may include but not limited to

• Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
• 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
• 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).
• Present data and model findings in a way that provides actionable insights to business users
• Monitoring model performance
• Improve processes and databases where opportunities arise

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 2 years’ work experience in a data science position

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Key Purpose

• Design and implement robust, scalable and optimally performing systems using Java related technologies, according to provided specifications, standards and procedures, while ensuring compliance with the architectural standards and guidelines laid out by Vitality Drive International.

Areas of responsibility may include but are not limited to

Design:

• Translate business requirements into technical designs adhering to Discovery Insure processes, standards and guidelines, taking cognisance of performance, security and scalability requirements. Deliver within agreed timeframes.
• Liaise with relevant parties where clarification of business requirements or resolution to technical issues is needed
• Research and find effective solutions to technical issues that arise
• Estimate development timelines based on business requirements

Development:

• Construct robust, maintainable, scalable, optimally performing system code in line with technical specifications, following prescribed process, standards and procedures. Deliver within agreed timeframes
• Conduct unit testing and fix any defects found

Testing:

• Verify build stability and quality with development team before releasing to test team, aiming to release with zero defects
• Assist the Business analyst in ensuring the test pack includes relevant scenarios and test data.
• Consult and assist in reviewing risk / impact of defects found in testing, and assist with fixing where necessary

Support / Troubleshooting:

• Assist system users with technical support issues and handle according to defined procedures
• Ability to effectively analyse root cause of system errors (data errors, performance and stability issues)

Mentoring / Team development:

• Actively coach other developers to understand and apply the Insure coding and architectural standards correctly, as well as any technologies in use
• Perform code review to ensure logical correctness, maintainability, scalability, performance, compliance with architectural standards and frameworks

Personal development:

• Keep abreast of current technological trends and how these might be applied in the Discovery environment
• Constant improvement of knowledge of the various applications, their functionalities and data models

General:

• Ability to communicate clearly, constructively and effectively. Easily able to follow and participate in technical, business process, and other discussions
• Able to build business relationships with other members of team and the business areas we support.

Technical Skills

• Excellent understanding of Object Orientated principals and Java language fundamentals
• Knowledge of commonly used design patterns
• Broad understanding of how to put together an EE-based business solution from scratch
• EJB
• HTML
• JSF
• JQuery
• JAXB
• SOAP Web services
• Message Driven Beans
• UML
• XML/XSD
• SQL

Education and Experience

Education:

• Matric (Essential)
• BSc Computer Science /Information Systems degree
• Formal Java qualificatio

Minimum Experience:              

6+ years’ experience in Java development with exposure to core competencies listed:

• REST Web services
• JSON
• Business Process Management Tools
• Apache Camel
• Apache Webserver Configuration
• JBOSS Configuration
• CSS
• GIT
• Integrated Build Tools
• HTML 5
• Knowledge of Short-Term Insurance industry
• Working knowledge of:
• Software development within SDLC
• Unit Testing
• Data modelling and design of database structures
• Cloud Technology exposure

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Key Purpose 

• Maintaining our clients Data and Reporting needs on a Weekly/Monthly basis.

Areas of responsibility may include but not limited to

• Responsible for maintaining monthly production of Data and Reporting needs.
• Interact directly with clients, gathering information and implementing any change requests to their current reports.
• Working with assigned dashboards and checklists, reviewing to ensure all requirements have been captured (Quality Assurance).
• Collect data, analyse trends, summarise, draw conclusions, and make recommendations.
• Build tables, graphs, and presentations using approved tools.
• Perform ad-hoc support to our clients and internal Teams.
• Create / maintain all Production Documentation.

Technical core skills 

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Comfortable presenting to external parties
• Accuracy (Advanced)
• Analytical (Advanced)
• Stakeholder management (Intermediate)
• Strong team player.
• Ability to work in a collaborative/problem solving environment.
• Ability to multitask.

Education and Experience

• Completed a post-secondary diploma/degree in the field/s of Coding, Business Analysis, Mathematics, Statistics.
• 1-2 years of work experience in data analysis.
• Must have a strong interest and understanding of the following.
• Data management, data analysis.
• Skills in Microsoft Excel (macros, v-lookups and pivot tables) and Power Point
• Experience with the following would be considered an asset for this role.
• Development tools such as Python, VBA and SQL
• Hands on experience with Microsoft Power BI 
• Experience with any Dashboard tools

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Key purpose

• The Employee Benefit Advice Specialist plays a critical role in providing employees with comprehensive support and guidance on their health-related benefits. Key responsibilities involve onboarding new hires onto the Discovery Health Medical Scheme (DHMS), facilitating enrolment in Vitality, and introducing GAP cover as part of the onboarding process.
• The specialist is further responsible for managing escalated medical aid-related queries from all staff, ensuring service excellence, maintaining compliance, supporting key internal events, preparing reports, and contributing to ad hoc strategic initiatives.

Key Outputs

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

• Timely Enrolment: Successfully onboard all new hires onto the Discovery Health Medical Scheme (DHMS) within their first month.
• Vitality Program Participation: Promote enrolment in Vitality Premium, and where not feasible, ensure enrolment in Vitality Active.
• GAP Cover Marketing: Introduce GAP cover during onboarding and capture selections for activation.
• Ongoing GAP Cover Engagement: Promote GAP cover to the existing portfolio to enhance overall benefit participation.
• Effective Escalation Management: Manage and resolve all escalated medical aid issues efficiently, ensuring employee satisfaction.
• Member Service Excellence: Provide prompt and effective assistance to all members, ensuring positive service experience.
• Accurate Administration: Complete all daily administrative tasks accurately and efficiently to support seamless operations.
• Compliance Adherence: Submit and upload all required compliance documents timeously, maintaining a low DPMO (Defects Per Million Opportunities) score.
• Ad hoc Projects: Participate in ad hoc projects that align with the strategic vision of Discovery Connect.
• Active Event Participation: Actively support Core Induction Day 1, Vitality in Action Day events, and other key team activities.

Personal attributes and skills

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

• Action oriented
• Communicates effectively
• Builds networks
• Drives results
• Ensures Accountability

Qualification & Experience

Essential Requirements:

• Matric
• RE5 certification
• 1-2 years’ experience in a client-facing advisory role

Advantageous Requirements:

• NQF level 4-6
• RE1 certification
• Accreditation to sell Health and Life products
• Tertiary Qualification in Financial Planning

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Key Purpose

• To build on our current telematics reporting platform and enhance the features running with technical projects from end to end including design and implementation of the solutions. You will also be required to analyse large amounts of data to find key business value and insights.

Areas of responsibility may include but are not limited to

• Develop and manage BI dashboards and reports to monitor our telematics systems’ performance and operational metrics.
• Extract, analyse, and interpret complex engineering, software development, and operational data to support decision-making.
• Collaborate with software developers and DevOps teams to develop and optimize data pipelines and automated reporting.
• Ensure data security, integrity, accuracy, and accessibility for cross-functional teams.
• Run with technical telematics projects from end to end
• Work in a team environment
• Communicate effectively and manage technical telematics supplier teams
• Perform root cause analysis on malfunctioning systems

Skills

• Drive to learn new skills and concepts
• Ability to manage multiple projects simultaneously
• Strong problem-solving skills and data-driven mindset
• Strategic thinking with a keen ability to translate business needs into data insights and actionable plans

Education and Experience

Education:

• Matric
• BSc Engineering qualification
• AWS Certification - Advantageous
• MSc - Advantageous

 Minimum Experience:              

• 3+ years of experience in business intelligence and data analytics within an engineering or technology driven industry.
• Strong technical project management skills with experience leading data-driven projects.
• Understanding of software engineering principles and best coding practices.
• Proficiency in QuickSight (AWS), Power BI, Tableau, SQL, Python (Pandas, Numpy), or similar data analytics tools.
• Solid knowledge of relational and non-relational databases.
• Hands-on experience with ETL processes, database management, and cloud-based analytics platforms.
• Familiarity with cloud environments such as AWS, Azure, or Google Cloud, including CI/CD integration.
• Experience with version control systems (Git) and automated deployment strategies.
• Familiarity with Unix/Linux - Advantageous
• AI and software disciplines - Advantageous

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Key Purpose

• Within the Discovery Mass Market team, the Administrator will provide support to the Operations team and admin functions within the division.

Areas of responsibility may include but not limited to

• To compile and action work based on the daily, weekly and monthly reports
• To assist the Operations Manager, support all branches regionally
• Collaborate with all business areas
• Monitor operations efficiencies
• To assist with branch escalations from Office Administrator and Sales Managers
• Compile and present monthly team reports
• Ensure all on-boarding and offboarding occurs within set SLAs
• Receive and service walk in clients
• Serve as a liaison to Discovery
• To assist with Discovery broker escalations
• To compile Credit Control report
• To consolidate and send the submission report to all branches
• To assist the Operations Manager with insights and trend analyses

Competencies

• Attention to Detail
• Planning and organizing and workflow management
• Customer service orientation
• Coping and dealing with Pressure
• Good verbal and written communication skills
• Relationship building skills
• Results orientation
• Assertiveness
• Positive attitude
• Time management skills
• Multi-task on multiple projects

Education and Experience

• Matric
• Experience in the Financial Services Industry
• Knowledge and understanding of Funeral Plans – Advantageous
• Strong Excel and PowerPoint Skills essential