Jobs at Discovery Limited

Key Outcomes may include but are not limited to:

Machine Learning Automation and Software Engineering:

• Design, build, and deploy machine learning and analytics automation processes.
• Refactor existing code bases to enhance efficiency, robustness (in terms of testing, code quality), scalability and automation of machine learning workflows.

Cloud-Native Development:

• Utilize Databricks and Azure as a primary platform for data engineering and machine learning use cases.
• Work within the Azure ecosystem, leveraging services such as Azure Functions, CosmosDB, API Gatway, Azure Machine Learning, etc. to build intelligent data applications.

DevOps, Version Control, and Software Engineering:

• Build out CI/CD pipelines to improve development and deployment practices. Hands-on experience with Git and DevOps tools such as Jenkins and Azure DevOps is required.
• Build robust testing and monitoring capabilities for machine learning and AI use cases.
• Knowledge of Terraform is advantageous.
• Experience building APIs to serve machine learning models.
• Apply software engineering best practices to develop robust, scalable, and maintainable code.
• Create microservice applications using Docker and container orchestration tools like OpenShift.
• Collaborate with cross-functional teams to deliver high-quality solutions software solutions for machine learning and data use cases.
• Create and maintain documentation of processes, technologies, and code bases.

Machine Learning Frameworks:

• Familiarity with machine learning frameworks/packages such as MLFlow, PyTorch, Tensorflow, etc is beneficial for the productionization of machine learning use cases.

Collaboration:

• Collaborate closely with data scientists, actuaries, data engineers, and other data software engineers to understand and address their data needs.
• Contribute actively to the architecting of our bank's modern Machine Learning data ecosystem.

Education and Experience: 

• At least 1-3 years’ working experience as a Software Engineer.
• Bachelor’s degree in engineering or a related field. Other qualifications will be considered if accompanied by sufficient experience in software engineering.

Technical skills or knowledge: 

• 2-years’ experience using Python, SQL.
• Exposure to Linux shell scripting advantageous.
• Experience with Spark is advantageous.
• Experience and interest in software architecture.
• Knowledge of cloud compute services.
• Familiarity with serverless computing and cloud-native development.
• Keen interest in systems design and software architecture.
• Knowledge of machine learning frameworks/packages (e.g MLFlow, Spark ML, Sklearn etc).
• Understanding of CI/CD concepts and API development, implementation experience advantageous. 
• Strong critical thinking, problem-solving and collaboration skills.
• Ability to collaborate with cross-functional tech teams as well as business/product teams.
• Excellent communication skills.
• Commitment to excellence and high-quality delivery.
• Passion for personal development and growth, with a high learning potential.

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Key Outputs / Job Responsibilities may include but are not limited to:

• The chance to play a key part in producing high-quality presentations for Client Sales meetings, involving data gathering, interpreting information, and creating a polished overall look and feel.
• The successful candidate will attend Client meetings, supporting the team in making sales, and will assist in inventing and tailoring the rapidly evolving product set that Discovery Green requires, demonstrating an innovative and agile product development mindset.
• Responsibilities will also include assisting in reviewing and refining actuarial models related to the business' risk, pricing, and cashflow for governance and planning purposes. This role is expected to fit into the Discovery Green agile culture, where roles are not siloed, and individuals are likely to be expected to assist across different disciplines in sales, finance, actuarial, marketing, product development, and research.
• Additionally, the role will involve assisting in the curation of models that optimise renewable energy aggregation from producers and allocation to consumers, as well as producing sales documents for clients, including propositions, contracts, quotations, and general overviews.
• The successful candidate will collaborate with Marketing and Distribution teams to ensure the latest available assets, content, and information is available for clients and the distribution force. They will also derive new insights and make recommendations on product positioning, intermediary sales tools, position papers, and product development.

Work Experience

• At least 2 -3 years’ experience in Technical Marketing environment
• Education / Qualifications / Accreditations with Professional Body
• Formal qualification/s, with a strong analytical or business focus, and a proven record of academic excellence (Actuarial, Mathematics)

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Key outcomes may include but are not limited to:

• Research into new products and risks to make informed and innovative product development decisions.
• Key involvement in the design, development and implementation of new products.
• Analytical and pricing capabilities to understand the financial implications and parameters involved when developing new products, to ensure profitable results.
• Collaboration with various teams within Corporate & Employee Benefits and the group on product development and strategic projects.
• Working with other teams to ensure products are operating in an efficient and accurate manner.
• Monitoring and reporting ongoing results to ensure products are producing optimal results.
• Working with external stakeholders as part of the R&D cycle.

Personal Attributes and Skills

The successful candidate will be required to demonstrate the following critical attributes and competencies:

• Exceptional analytical skills
• Entrepreneurial with strong problem-solving ability
• High level of attention to detail
• Resilient with a strong sense of initiative
• Able to work collaboratively and balance multiple priorities
• Comfortable with change and a fast-paced work environment
• Ability to build relationships and network internally
• Confidence around presenting and communicating with a wide range of audiences in the business and externally

Education and Experience

• Qualified actuary
• At least 4 years working experience, preferably in a R&D environment
• 3 - 5 years’ experience in a Product development or technical marketing role (advantageous);
• 3 - 5 years’ experience in life insurance and/or investments (advantageous)
• Leadership qualities
• Strong written and verbal communication, with an ability to simplify ambiguous information
• Project and people management
• Advanced proficiency with Microsoft Excel, Microsoft Word & Microsoft PowerPoint
• Knowledge of modelling packages such as SPSS, Python or R is an advantage

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Key Purpose

• Discovery Health administers a number of closed in-house employer medical schemes, as well as the largest open scheme in South Africa, the Discovery Health Medical Scheme. The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures.
• You will be responsible for technical healthcare actuarial analysis, which may include regular monitoring reports, as well as detailed investigations for various initiatives. You will be expected to deliver clear and reliable results on tight and high-pressured deadlines at times. The job entails applying the principles of risk adjustment, in the healthcare context, to the clinical analysis of claims data to deepen understanding of the scheme experience for guiding appropriate interventions to ensure sustainability through improvement of efficiency and quality of care. You may also be involved in assisting with the pricing of exciting new Discovery Health products before their launch. Data and model findings need to be clearly communicated to business users.

Competencies required:

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and team
• Healthcare experience and an understanding of clinical risk adjustment methodologies
• Manage complexity
• Excellent conceptual and technical ability
• Accuracy
• Analytical
• Verbal and written Communication

Personal Attributes and Skills

• Aligned to Discovery values and core purpose.
• An interest in the South African healthcare and medical scheme environment.
• Exceptional analytical and problem-solving skills.
• High-level of attention to detail.
• Results orientated and commercial thinking.
• Excellent communication and presentation skills
• A focus on delivering results and meeting client expectations.
• Ability to work collaboratively in a team environment and balance multiple priorities.
• Ability to work alone when required and to take initiative without supervision.
• Comfortable with change and a fast-paced work environment.
• Unwaveringly ethical and able to maintain confidentiality.

Qualifications & Experience:

• Actuarial science or Mathematical Statistics undergraduate degree
• Completion of CT series of actuarial board examinations
• Data and analytic work experience (1-3 years) (Beneficial)
• Understanding of risk adjustment methodologies (Beneficial)

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Areas of responsibility may include but not limited to

• Create interactive and visual design prototypes ranging from low to high design fidelity. 
• Conduct user research and usability analysis. 
• Work closely with developers and product owners to deliver the final product.
• Conduct peer reviews of usability deliverables.
• Ensure that UX research, low and high-fidelity design deliverables are consistent and correct.
• Have a good understanding of platform and device requirements such as form factors, screen resolutions, pixel density and aspect ratios. 
• Keep up to date with the latest trends and attend/speak at conferences and Meetups, to contribute to innovation and consistency in usability standards and guidelines.
• Have regular sessions with leads to convey blockers, training, and tool needs. 
• Contribute to internal training and community forums with UX/UI Designers to broaden awareness of user experience and design best practice. 
• Use storytelling and persuasion techniques to build trust with stakeholders to establish long term partnerships. 

Personal Attributes and Skills

• Tenacity
• Manage Ambiguity
• Cultivate Innovation
• Drives results
• Ability to facilitate/lead JAD sessions
• Solid understanding of systems development life cycle
• Knowledge of Discovery Products and legacy systems environment
• Good verbal and written communication skills. 
• Stakeholder engagement
• Proficient in UX research, interaction design, user-centred experience design, brand identity management, digital marketing, and the creative process. 
• Have visual design skills, attention to detail and a demonstrated mastery of typography, colour and layout. 
• Experience and understanding of lean and agile processes. 
• Proficient with design tools such as Figma. 
• Be able to stand by your designs and provide solid rationale to back up design decisions made. 
• Ability to use prototyping tools to convey design intent. 
• Operational understanding of Accessibility and the ability to incorporate accessibility into designs.
• Data analysis and reporting. 
• Customer service orientation, result orientation, negotiation skills. 
• Personal organisation and time management skills. 
• Ability to build relationships with people from all backgrounds and at different job levels. 

Education and Experience

• Matric/Grade 12 and relevant Bachelor's or equivalent 3-year degree.
• Certified Usability Analyst (CUA). 
• 3 to 5 year working experience.
• Experience in UX/ Interaction design specifically for web and mobile applications/platforms.
• Preferred working experience in the field of Visual/Multimedia Design Business.