Active Jobs at Discovery Limited

• The Administrator will work within the Operational Finance pillar of the Vitalitylife Finance team within South Africa with a focus on billing of clients, application of client’s funds, management of debtors, card payments and reporting on suspected financial crime risks. This includes the management of special offers and supporting the retentions and conservation campaigns.

Areas of responsibility may include but not limited to

• Ensure billing for all clients polices are accurate and complete.
• Ensure the timely allocation of manual deposits, card payments and cheque payments to policyholder accounts.
• Liaise with UK Credit Control team to ensure that all cheque receipts are timeously and accurately allocated.
• Advice policyholders and brokers of receipt of manual deposits as and when required.
• Maintain the unallocated manual deposits listing and ensure that it is regularly updated and sent to the Credit Control department.
• Liaise with HSBC to investigate manual deposits/cheques received with no reference.
• Investigate reconciling items in the direct deposit control account and propose journals for the clearing of reconciling items in the control accounts.
• Handle all inquiries related to manual deposits and card payments within the SLA.
• Maintain detailed and up-to-date records of payer banking details and report on third party payments on a monthly basis or when required.
• Ensure that the Debtors Age Analysis reflects the correct ageing and following up with Credit Control and Retentions on debtors that have been earmarked for retention campaigns. Daily premium debtor analysis.
• Liaise with the Servicing team to ensure the timeous processing of anniversaries on annual policies.
• Ensure that all billing information (and related notifications) for annual policies is correct.
• Maintain detailed and up-to-date records of payer banking details and report on third party payments on a monthly basis or when required.
• Investigate the origin of funds and maintain a detailed record of findings for reporting to the Financial Crime team.
• Manage and process special offer campaigns as and when they are launched within the business. Taking ownership of special offers from a finance point of view and liaising with other departments to ensure a successful outcome and processing.
• Weekly and monthly reporting on cash allocated, including cheque and card receipts.

Personal Attributes and Skills

• Interpersonal skills
• Ability to take ownership and accountability
• Ability to work under pressure and to multi-task
• Drive and initiative to get things done
• Ability to deal with complexity and migrate between detail and high-level requirements.
• Strong analytical thinking and attention to detail
• Problem-solver - able to find innovative and pragmatic solutions to difficult problems.
• Must be a self-starter and capable of producing work of a high quality without close supervision.

Education

• Matric – essential
• Minimum 3 years working experience within an Insurance or Financial services industry

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About the Position

• The key purpose of the Data Analyst role is to design and implement analyses, and communicate findings and insights to support the work of our data science team within the Group Data Science Lab. This team focuses on the development and evaluation of Natural Language Processing (NLP) and Large Language Model (LLM) systems. The role requires working with both structured and unstructured data, collaborating closely with a team of data scientists and engineers, and fostering strong relationships with operations and business stakeholders to ensure alignment between the data science work and business objectives.

Responsibilities include

• Query and analyse structured and unstructured data using SQL, Excel, and ideally Python or R.
• Design, implement, and communicate analyses that inform the development of NLP and LLM systems, including modelling decisions, system design, and rollout decisions.
• Design, implement, and communicate analyses that help the team and stakeholders measure the operational and business impact of our work.
• Assist in defining, developing, and implementing evaluation metrics, and analyse trends in these metrics.
• Collaborate with data scientists on statistical analyses to measure and prove impact and value.
• Present analysis findings clearly, providing actionable insights for both data scientists and business users.
• Design comparative analyses to help us understand the operational impact (e.g., interaction volumes, handling time, survey scores) of our work.
• Conduct text analysis using manual methods, NLP techniques, and LLMs.
• Aggregate and synthesize data to produce accurate weekly/monthly reporting for team and senior stakeholders.
• Engage with stakeholders to contextualise insights within an operational context.

Personal Attributes and Technical Skills

• Expertise in data manipulation, especially using Excel and SQL for structured data; experience with Python or R is advantageous.
• Strong analytical, statistical, and problem-solving skills. Experience in statistical modelling, data mining, feature engineering, and machine learning is advantageous.
• Ability to formulate problem statements and develop actionable plans.
• Skills in working with text data analysis, NLP techniques, and LLMs are advantageous.
• Able to convey data insights and recommendations visually, verbally, and in writing.
• Excellent planning, organizational, and time management skills, with attention to detail.
• Self-motivated and proactive, capable of working independently and without supervision when necessary.
• Team player with the ability to collaborate effectively and balance multiple priorities.
• High levels of resilience, enthusiasm, energy, and drive.
• Keen to learn and grow as a data science professional.

Education and Experience

• Relevant quantitative degree in Statistics, Mathematics, Computer Science, Data Science, or similar, or equivalent experience.
• 1-2 years of work experience in an analytical environment.
• Work experience in operational or contact centre environments is advantageous.
   

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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 engineers 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.
• Define and implement strategies for post-production model monitoring in collaboration with data scientists.
• Document code, perform peer reviews, and provide progress updates.
• Coach others in the team to teach and improve coding best practices.

Personal Attributes and Technical Skills

• Expert in Python and SQL
• Experience with containerization (Docker, Kubernetes)
• Experience building and hosting microservices
• Experience designing table structures and schemas
• Experience working with diverse teams to understand data sources and build integrations
• DevOps/DataOps and CI/CD skills
• 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 (advantageous)
• Excellent planning, organizational, scoping, and time management skills
• Strong analytical, critical, conceptual thinking, and problem-solving skills
• Excellent oral and written communication skills
• Self-motivated and proactive, with a strong ability to identify and tackle challenges independently, demonstrating a keen entrepreneurial spirit.

Education and Experience

• Degree in Computer Science, Engineering, Software Engineering, or similar, or equivalent experience.
• 3-10 years’ work experience as a Developer or Engineer.