Jobs at Discovery Limited

Key Purpose

• A Junior Data Scientist that will help integrate and leverage natural language processing (NLP) and advanced large language models (LLMs) to enhance AI frameworks.  These innovative capabilities will enable unstructured autonomous decision-making processes, increase operational efficiency, and deliver personalized customer experiences.

Areas of responsibility may include but are not limited to

• Project Contribution: By collaborating with contents specialists, data engineers and system architects, contribute to 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.

Skills

• SQL and working with databases.
• Python for data science and machine learning.
• Competent with TensorFlow, PyTorch, NLP and LLM packages.
• Familiarity with Azure services.
• Familiarity with Databricks.

Education and Experience

Education:

• Matric
• Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.

Minimum Experience:

• 1-3 years’ experience in a data science environment (Essential)
• Demonstrated ability to implement ML workflows at scale, particularly using LLMs (Advantageous)
• Experience in handling, analyzing, and extracting insights from large and complex datasets, particularly unstructured text data (Advantageous)
• Previous experience tuning open source and proprietary large language models (Advantageous)

go to method of application »

Key Purpose

• The candidate will form part of the Vitality SA actuarial team responsible for analytical analysis and modelling of the Vitality programme in order to answer key business questions, inform the business strategy, ensure the business remains financially stable and exposure to key risks are understood. A unique focus area of this role is deep analysis at the intersection of actuarial and behavioural science spheres in order to understand and drive member engagement and wellness across Vitality.

Areas of responsibility may include but not limited to:

• Develop actuarial or statistical models to aid in strategic business decision-making
• Short- and long-term behavioural and financial projections (including pricing and testing of new initiatives)
• Extracting and analysing large datasets to yield rich insights and communicating the results to a wide variety of stakeholders including the Vitality SA Executive Committee
• Identify and understand key business and data trends, assess the impact and identify possible courses of action to mitigate / capitalize on these opportunities
• Conduct ad-hoc investigations and analyses including quantifying the financial and business impact of strategic projects, oftentimes working with executive decision-makers to craft and execute key strategic projects
• Compilation of reports and presentations for the Vitality Exco, Vitality Board, Actuarial Committee, Discovery Board and Group Exco
• Develop and leverage key working relationships with various stakeholders across the business to support the objectives of the organization
• Mentor, support and train junior analysts

Competencies

• Strong analytical skills with the ability to collect, organize, analyse, and disseminate information simply and effectively
• Strong ability to work with, analyse and communicate findings from data (top-down verbal and written communication)
• A passion for delivering high caliber results with a sense of urgency and bias for action
• Excellent time-management skills with the ability to prioritize deliverables and manage stakeholder expectations
• Well-versed in the ability to disaggregate issues and solve problems
• Comfortable adapting and responding to change, especially pivoting focus and priorities as business needs change
• Strong ability in dealing with unstructured problems and complex environments
• Excellent attention to detail
• Excellent written and verbal communication skills, with the ability to communicate to a wide variety of stakeholders
• Great people skills and situational awareness
• Ability to cope with business pressures and setbacks
• Ability to think with a commercial and growth mindset
• Good sense of materiality coupled with the ability to keep matters in perspective

Education and Experience

• Strong Matric results, with Higher Grade Mathematics
• Bachelor’s degree in actuarial science (post-graduate qualifications being advantageous)
• Close to (1 to 2 exams away) or recently academically qualified as a fellow actuary
• 2 to 4 years’ relevant work experience
• Advanced proficiency in SQL, MS Office Suite (PowerBI and Python coding skills advantageous)
• Advanced experience in data handling, actuarial modelling and lateral problem-solving skills

Behavioural Competencies

• Highly analytical and logical thinking style
• Critical thinking, able to interrogate and assimilate information in a meaningful way
• Curious and eager to know “why”
• Creative when necessary and innovative in problem-solving approaches
• An ability to communicate technical complexity to a non-technical audience
• A sharp focus on delivering high caliber results and exceeding stakeholder expectations
• Interest in leveraging the analytical power of large datasets intersecting with the Behavioural Science domain
• Comfortable with change and a fast-paced work environment
• Passionate about mentoring and molding more junior team members
• Keen to pursue a career outside of a traditional actuarial environment whilst still applying actuarial and statistical principles in a non-traditional way

go to method of application »

Key Purpose

• To accurately and efficiently acknolwdge and action all End-User interactions within agreed Service Levels and maintaining the required levels of Customer Satisfaction.

Areas of responsibility may include but not limited to

• Acknowledgement of all incoming Contact Channel Incidents and Requests in line with contracted SLAs.
• Accurate logging of all incoming Contacts in the mandated Service Desk Management Tool.
• Initial Classification and Prioritisation of each Contact against the agreed Severity Matrix and utilizing the correct Contact Categorization.
• Perform initial Analysis, Investigation and Diagnosis of the Incidents / Requests.
• Attempt First Call Resolution on all Contacts deemed First Line Resolvable.
• Execute Functional Referral (assignment) of all Contacts not Resolved at First Line to the correct Servicing Team for action.
• Monitor resolution progress, provides updates on Contacts when requested and executes Hierarchical Escalation on Contacts if they are urgent or have breached contracted SLA.
• Monitor and manage all Group Nodes to prevent SLA breaches and ensures all New, In Progress or returned tickets are actioned correctly and within SLA.
• Provide appropriate input to the Knowledge Base.
• Ensure each Contact is logged with a valid reference number and that all communication is managed from within the mandated Service Desk Management tool.
• Acknowledge any Complaint and attempts to provide a Resolution at First Line. Should First Line not be possible, executes Hierarchical Escalation to ensure the Complaint is Resolved.
• (Note: This position is shift based).

Personal Attributes and Skills

• Attention to detail.
• Ability to translate the Customer’s experience and symptoms into meaningful information that aids resolution activities.
• Ability to understand impact and urgency in order to assign relevant priorities.
• Strong verbal and written communication skills.
• Strong technical competencies.
• Able to work in a highly pressurized environment with high volumes.
• Takes initiative and works under own direction. Takes ownership and responsibility for work and sees it through to resolution

Education and Experience

• Matric
• A+, N+, MCSE
• Diploma in Information Technology*
• Previous IT Service Desk / Helpdesk Experience