Latest Jobs at Discovery Limited

Role Purpose

• You are a core member of Vitality Actuarial and Data Science (VADS), responsible for turning data into intelligent products that change how members experience Vitality and producing insights that change the business. You work at the intersection of behavioural science, health data, financial services and applied AI and you own the journey from a raw idea to something live in members' hands.
• Your primary responsibility is to find and extract new value from data that others haven't seen yet. You do this by being intensely curious about the business, the members, the data estate, and the frontier of what AI can now do. You go looking for problems. You prototype fast. You ship. Then you find the next one.
• You are the team's connective tissue to the outside AI world; the person who knows what shipped last week, what's hype, and what's quietly changing everything and you bring that back with a point of view, not a link dump.

Key Responsibilities

Building & Shipping Intelligent Products

• Own ML products end-to-end  from data exploration and problem framing through to production deployment on GCP (Vertex AI, BigQuery) and/or Azure Databricks. You don't hand things off at the notebook stage.
• Deploy and operationalise LLMs and ML models that drive personalisation, engagement and intelligent recommendations for millions of Vitality members.
• Write production-grade code, not just experiments. You care about MLOps, monitoring, and what happens to your model on day 90, not just day one.
• Partner with engineering, platform and data teams to strengthen Vitality's AI platform and data products. You hold the technical bar on what "good" looks like.

Extracting New Value from Data

• Go looking for value proactively surface use cases that unlock member impact, business value or entirely new products. Nobody needs to hand you a brief.
• Interrogate the data estate. Know what we have, what we don't, what's underused, and what external data would change the game. Come with proposals.
• Prototype fast, kill fast, scale what works. You're comfortable running multiple bets and being honest about what's not landing.
• Frame the "so what." Every model, every insight you can articulate the decision it changes and the value it creates.

Being the Team's Signal on AI

• Stay obsessively current on what's happening in AI, ML and LLMs. Not as a hobby, but as a professional discipline.
• Separate signal from noise and bring back a curated, opinionated view of what actually matters for Vitality.
• Run experiments with new tools and techniques before anyone asks. Come with evidence, not opinions.

Raising the Team Around You

• Upskill junior members on modelling, engineering discipline and how to think about problems, not just solve them.
• Demystify AI for actuarial, business and executive stakeholders. Translate without dumbing down.
• Translate complex technical work into clear, compelling narratives for Vitality Exco, the Discovery Board and Group Exco.

Core Skill Development

• Applied machine learning and LLM engineering — model development, fine-tuning, RAG, evaluation, prompt engineering, and productionisation.
• MLOps and production discipline — CI/CD for models, monitoring, drift detection, versioning, cost management.
• Cloud-native data science — GCP (Vertex AI, BigQuery) and/or Azure Databricks fluency.
• Data fluency across the Vitality estate — knowing where data lives, how it flows, and where the untapped value sits.
• Business translation — converting behavioural, actuarial and commercial questions into precise technical problems.
• Executive storytelling — framing technical work so senior leaders can make decisions on it.
• Behavioural science literacy — enough to design products that actually change what members do.

Who You Are

• 5–8+ years in data science, ML, or a closely related quantitative field.
• A degree in a quantitative discipline (actuarial science, statistics, computer science, data science, maths, physics, or similar). Postgraduate work is a plus.
• Proven track record of taking models from prototype to production; you understand MLOps, not just model accuracy.
• Strong Python and SQL are expected. Experience with GCP (Vertex AI, BigQuery), Databricks, LLM-based applications and hands-on data engineering is beneficial.
• Genuine curiosity about behavioural science, health, wellness, or insurance — not just the tech.

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Role Purpose

• You're a member of Vitality Actuarial and Data Science (VADS), building intelligent products that change how members experience Vitality and producing insights that change the business. You'll work where behavioural science, health data, financial services and applied AI meet. With support from a Senior Data Scientist, you'll take products from raw idea to something live in members' hands and insights from interesting to impactful.
• This is a hands-on build role. You'll own real problems, not side projects. You go looking for questions, you prototype fast, you ship, and you learn out loud. The senior team has your back, but the drive and curiosity are on you.

Key Responsibilities

Building & Shipping Intelligent Products

• Own products and insights end-to-end, with senior support  from problem framing to production deployment on GCP (Vertex AI, BigQuery) and/or Azure Databricks. You take real responsibility for your work, not just pieces of it.
• Build and deploy ML models that drive personalisation, engagement and smarter recommendations for millions of Vitality members.
• Write clean, production-minded code you care about how your model behaves after launch, not just whether it runs in a notebook.

Getting Value from Data

• Ask good questions of the data. Go looking for patterns, gaps and use cases rather than waiting for a brief.
• Get to know the data estate . Learn what we have, what's underused, and where the interesting problems hide.
• Prototype fast and learn fast. Be honest about what's working and what isn't; and always frame the "so what."

Staying Curious About AI

• Keep up with AI, ML and LLMs and bring new tools and ideas to the team, not just links.
• Experiment with new techniques and share what you learn.
• Learn from the senior team. Soak up modelling and engineering discipline, and ask the questions that make you better.

Working With the Team

• Collaborate across the team, with engineers, actuaries and fellow data scientists to build things that last.
• Explain your work clearly to non-technical colleagues, and present confidently to the team.
• Contribute to team knowledge and document what you build so others can build on it.

Core Skills to Build

• Applied ML and LLM basics — model development, evaluation, fine-tuning and productionisation.
• Production discipline — clean code, version control, monitoring, and understanding what happens after deployment.
• Cloud-native data science — GCP (Vertex AI, BigQuery) and/or Azure Databricks.
• Clear communication — explaining technical work simply to non-technical colleagues.
• Behavioural science curiosity — enough to understand how products change what members do.

Who You Are

• 2–4 years in data science, ML or a related quantitative field.
• A quantitative background (actuarial, stats, CS, data science, maths, physics or similar) — self-taught with a strong portfolio is just as welcome. Formal postgrad qualifications aren't required.
• Solid Python and SQL, you can already build and query, not just talk about it.
• Some exposure to taking models beyond a notebook - you're keen to learn proper production and MLOps discipline.
• Genuine curiosity about behavioural science, health, wellness or insurance; not just the tech.

The Mindset That Matters Most

• Intensely curious. You can't leave a question alone. You dig until you understand.
• High ownership. You take responsibility for your work and see it through. "Not my job" isn't in your vocabulary.
• Driven. You bring energy and initiative. You don't wait to be told what to do next.
• Value-hunting. You care about impact, not just building something that runs.
• A fast learner. You pick things up quickly and aren't afraid to ask when you're stuck.
• Resilient. You handle feedback well, learn from what doesn't work, and keep going.
• Generous. You share what you learn and celebrate the team's wins.

What Success Looks Like

• Six months in, you're shipping real work that members actually use. A year in, you're owning products with confidence, the senior team trusts your judgement, and you've grown from someone who executes into someone who spots the opportunities. You've become the person others come to with questions — because you're always the one asking the best ones.

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Key Purpose of the role

• The Operations Manager is responsible for leading the operational delivery of the Healthy Company division, ensuring service excellence, operational efficiency, compliance, and stakeholder satisfaction. The role provides leadership to operational teams, drives continuous improvement initiatives, and ensures the successful execution of divisional objectives in line with business strategy.

Areas of responsibility may include but not limited to
The successful applicant will be responsible for but not limited to the following job functions:

• Lead and manage daily operations of the Healthy Company division to ensure service delivery targets, operational performance targets and business objectives are achieved.
• Monitor and manage service level agreements (SLAs), operational metrics, turnaround times and quality standards.
• Implement operational plans aligned to divisional business objectives and operational requirements.
• Lead operational improvement initiatives to increase efficiency, service quality and customer experience.
• Identify, assess and mitigate operational risks and implement corrective actions where required.
• Manage process improvement and business process automation initiatives.
• Oversee operational governance activities and ensure compliance with company policies, regulatory requirements and internal controls.
• Prepare and present operational reports, performance reports and management reports to business stakeholders.
• Analyse operational data and performance trends and conduct root cause analysis to identify improvement opportunities.
• Manage stakeholder relationships with internal business units, external partners, clients and service providers.
• Lead operational meetings, governance forums and stakeholder review meetings.
• Manage operational escalations and ensure timely resolution of service delivery issues.
• Lead, coach and develop Team Leaders and operational teams.
• Monitor team performance, employee engagement, capability development and succession planning activities.
• Support workforce planning, resource allocation and capacity management activities.

Personal Attributes and Skills

• Living the Discovery values
• Presentation and reporting skills
• Proficiency in Microsoft
• Excellent verbal communication skills
• Ability to work under tight deadlines and pressure
• Problem solving by identifying key issues and relationships
• Strong knowledge of Discovery processes and policies

Education and Experience

• National Senior Certificate (Matric)
• Bachelor's Degree in business/ relevant degree
• Degree in Clinical Psychology from an accredited institution (advantageous)
• Minimum 3-5 years’ experience managing operational teams
• Minimum 3 years experience in operations management, service delivery management or business operations
• Experience managing service level agreements (SLAs), operational metrics and performance targets
• Experience leading people, Team Leaders or supervisory teams
• Intermediate Microsoft Office skills (Word, Excel and PowerPoint)
   

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Job Description

• Identifying sales opportunities.
• Answering inbound calls timeously and making required outbound calls
• Co-ordination of own administration
• Identifying sales opportunities
• Maintaining accurate details and statistics of all queries

Key purpose

• This position is based in the Discovery Connect Sales call centre, and reports to the sales team leader.
• The successful individual will be required to conduct Discovery Insure telesales.

Key Outputs

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

•  Achieve Insure Sales target
• Communication to members telephonically via fax and email
• Attending to general administration
• Conduct Financial Needs Analysis
•  Achieve quality target
• Overcome objections
• Adhering to service level agreements

Personal attributes and skills

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

• Target Driven
• Team Player
• Goal orientated
• Self motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

•  Matric
• At least 2 years sales experience, preferably in an outbound telesales environment
• Minimum 2 years short-term product knowledge, Discovery Insure Knowledge is an advantage
• PC literacy, email, word, excel
• Tertiary qualification an advantage
• NQF5 and RE5 qualification

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Key Purpose

• The role has multiple facets, the first being to become completely familiar with existing software models to maintain and enhance them. Equally important is the development of new software models and functionality for the team.
• A less challenging but equally important role is running the software programs on a daily and monthly basis – these are called production runs. The programs that need to be run include software developed in-house as well as third party software. For all these, the  input files need to be created, usually by means of C/C++ programs, SQL and shell scripting. Some of these input files themselves can be complex in nature, being created of data from multiple sources.
• Running these production runs can involve working outside of office hours, for which time off is granted in lieu of overtime pay. Finally a requirement is to develop ad-hoc programs and front-ends for the team to be able to run various programs themselves – usually through a web page.
• It is important for the candidate to be able to work on their own to solve various technical challenges that may arise. Thought must be given to the latest  and future  technologies and methodologies that may better address these challenges. Although C/C++ has traditionally been used for its superior performance, an open mind must be kept to using the correct technology to address current and future requirements.
• Although guidance will be provided at the beginning, the candidate must work towards being able to make decisions on their own. To this end, a good understanding must be gained of the basic clinical principles, such as clinical coding, that are instrumental in all software developed and run by the team. It is also expected of the candidate to keep current with new developments in software and modelling techniques

Areas of responsibility include but may not be limited to 

• Maintaining and enhancing existing software
• Developing new software
• Creating input files
• Collating output from the various programs for loading into a database
• Running or assisting with production runs
• Developing simple front-ends (usually web-pages) to enable the team to run the programs themselves on a single record basis
• Keeping third party software up to date by updating license keys etc.
• Developing ad-hoc programs and scripts as required by the team
• Investigating new technologies and methodologies to keep the software current.

Personal Attributes and Skills - high proficiency required 

• High proficiency in C/C++ and Python
• A good knowledge of SQL and relational databases
• Proficiency in Unix/Linux shell scripting.
• Good knowledge of Unix/Linux
• Technical computer knowledge – e.g. using shared memory, binary files etc.
• Must be able to work unsupervised (mentorship is provided)
• Enthusiasm and willingness to learn 

Personal Attributes and Skills – proficiency required

• Unix/Linux command-line experience
• Working knowledge of Microsoft Office products; MS-Word, MS-Excel
• Working with a source-level debugger (for C) and IDE for Python
• ProC (Oracle’s SQL interface for C)
• XML / XSLT
• HTML / CSS
• PHP
• Java/Javascript
• Any other web technologies such as APIs

Education and Experience – minimum 

• Computer-related tertiary qualification – or minimum 5 years’ experience working in a highly technical environment
• Minimum 5 years’ Python and C or C++ programming experience
• Minimum 5 years’ experience software deployment in a Unix/Linux environment.
• Minimum 3 years’ SQL experience
• 2 years shell scripting (knowledge of awk or perl advantageous)
• 1 year HTML programming exposure
• 1 year XML/XSLT programming exposure
• 6 months PHP programming
• 2 years working with MS-Excel, MS-Word etc.

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Job Purpose 

• Strategic planning and design of all Discovery real-estate nationwide.

Key Outputs may include but are not limited to

Space Projections:

• Quarterly / bi-yearly meetings with Company heads (for relevant space allocated.
• Ramp up projections on growth projections and required space to meet the relevant needs.
• Tracking, maintaining and flagging growth throughout their portfolio
• Blocking and stacking when required to resolve any unexpected growth.

Design:

• Taking and interpreting of the brief from the client (with the assigned project manager)
• Presenting conceptual layout, design & 3D’s(Revit work) and preparing of PowerPoint presentations where required
• Detailed design and working drawings for project hand over (Shop fitting, finishes, detailed drawings, demolition etc)
• Sourcing materials, products and furniture and specifying
• Dealing with suppliers when sourcing or designing new
• Design input and co-collaboration with Project team throughout project process – revisions, changes, site meetings, contractor meetings, development meetings, regular site inspections, problem solving etc

Final snagging on design items

• Client follow up / project review with client after hand over.
• Assisting incoming external tenants with design, costing and setup in their new space.

Project Management on moves:

• Costing of projects
• Review & sign off of all Junior costs and layouts
• Site review and pre move walks to ensure what is on plan is as per drawings
• Regional site visits for bigger projects.
• Move documentations to be compiled and communicated in times provided
• Move communications to move co-ordinator
• Liaising, discussion and planning relevant move with contractors (move planning and schedule)
• Site snagging (to assist Jr’s where required)
• Site visits to regional buildings for bigger projects.
• Managing Junior workload, quality of work and accuracy of output
• Change management
• Financial management
• Managing up to 10 trades per move or project.
• Liaising with regional building coordinators when moves take place.

Admin:

• Compiling costs based on quote
• Managing jobcard SLA’s logged on Planon
• Managing filing in OneDrive to comprise of all relevant documentation for each reference number i.e. approvals, quotes, invoices etc.
• Managing incoming requests for stock and processing orders when required
• Managing teams OneDrive filing to comprise of all relevant documentation for each RFC
• Coordinating any invoice queries from Project admin
• Coordinating any order number queries
• Monthly & bi-annual documentation for business – growth reflections, occupied workstations, patterns of growth per business, etc
• Managing and delegating workload between Space planning team.
• Occupied workstation report
• Advising on change to charge outs following moves
• Conducting and providing support doing ergonomic assessments for all Discovery staff.
• Update and communicate all cost center changes after moves.
• Update all changes on Live drawings after moves.
• Scoping of existing tenant offices to assess furniture stock for relocation purposes.

Branding and signage:

• Taking and interpreting of the brief from the client for branding and signage projects.
• Liaising with suppliers and contractors.
• Obtaining quotes.
• Site visits with suppliers prior to installations

Qualification & Work Experience

• Relevant qualification in interior Design & Space Planning
• Minimum of 5 years’ experience in space planning
• Minimum of 3 years in interior designing
• Minimum of 2 years’ experience in project management

Technical Skills or Knowledge

• AutoCAD
• Revit
   

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Key Purpose 

• The Collections Operations Manager  is responsible for ensuring that the collections functions within Discovery Bank run efficiently and effectively on a 24/7/365 basis. The incumbent is required to assist in the design and continuous improvement of both current and future business processes. This includes systems and processes that support day-to-day operations, outlining process flows, defining operating rules and policies, and assigning and monitoring operational roles and responsibilities.
•  The incumbent must keep track of performance metrics, analyse bottlenecks, and take corrective actions where required.  He/she also responsible for implementing credit and collections solutions to improve performance levels. It is important that the incumbent has a hand-on approach and gets involved in front-line work to get the job done and to gain a better understanding of the business.

Areas of responsibility may include but are not limited to.

• Manages the bank’s risk operations processes and oversees a wide range of operational activities while managing customer relationships. These will include establishing direct communication channels with applicants or borrowers (clients), identifying, and managing delinquent accounts, taking direct collections and recovery actions, issuing monthly statements, and handling escalated customer queries.
• Runs a client credit portfolio efficiently while delivering strong customer satisfaction.
• Analyses data and to find patterns that may identify credit risks in the products and escalates to the Risk Operations management team.
• Oversees and develops a plan to handle client disputes by requesting new client information via the Service Consultants/Discovery Banker. Applying discretion in line the overall policy to re-assess the credit scoring and granting and using this information as client intelligence to provide input into the credit model.
• Performs data analysis on a portfolio of client cases to identify trends and provides this intelligence as strategic input for the credit model to ensure the Bank’s credit risk is mitigated.
• Performs in-depth analysis of clients’ financial status to determine how to best intervene through education, motivation, and negotiation with the aim of getting the client in a better financial situation.
• Executes the collections and recovery strategies aligned to the overall bank strategies.
• Manages and monitors the performance of external collections agencies within SLA’s.
• Ensures that a detailed risk register with mitigation plan exists for credit ops, collections, and recoveries to mitigate operational risks.
• Monitors all daily and monthly reports for credit ops and collections performance and takes action as required.
• Creates, maintains, and enhances internal and external stakeholder relationships in order to improve overall efficiency and ensure compliance.
• Effectively leads the team and takes accountability for the continuous up-skilling of employees to ensure that current and future business demands are met.
• Develops, executes, and gives inputs into the policies, procedures and standards within collections and credits ops aligned to the regulatory framework.

Technical Skills or Knowledge

• Planning and organising.
• Problem solving.
• Judgment and decision making.
• Conflict management.
• Innovative process management.
• Client service orientation.
• Verbal and written communication.
• Financial advice.
• Income and expenditure, budgeting, financial planning, pulling bureau reports.
• Analytical and numerical.
• Basic economics.
• All related regulatory and compliance acts.

Education and Experience Required

• At least 4 to 6 years’ experience in debt management services.
• Experience in managing people.
• At least 2 years in financial planning at a senior level

Preferred

• At least 4 to 6 years in credit operations, collections and operational risk management in retail banking or financial services.
• Experience in process design and optimisation.

Required

• A bachelor’s degree with finance, accounting, economics, law, or business management.
• FAIS accredited.

Preferred

• Degree with Honours (finance, accounting, economics, law, or business management)
• NQF level 9 qualification (MBL, MBA, M Comm)

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Job Purpose 

• The Technology Risk Manager is responsible for developing, implementing, and maintaining the organisation’s Technology Risk Management Framework. The role will provide oversight, advice and assistance to the business in the identification, evaluation, assessment and treatment of information and technology related risks, to improve risk awareness and risk culture through challenging first-line management’s information and technology risk management practices.

This position reports to the Head of Technology / Data Risk.

Areas of responsibility may include but are not limited to 

Technology Risk Framework & Governance

• Implement and enhance the Technology Risk Management Framework.
• Maintain IT governance standards, policies, and procedures.

Technology Risk Identification, Assessment & Monitoring

• Conduct technology and cybersecurity risk assessments.
• Maintain a comprehensive IT risk register.

Technology Governance Committees & Reporting

• Produce clear, concise, and decision-focused risk reporting for senior management, risk committees, and executive forums.

Emerging Technology, Data, and AI Risk

• Assess technology risks associated with emerging technologies, including AI, advanced analytics, data science, and automation initiatives.

Collaboration & Stakeholder Engagement

• Work with IT, Cybersecurity, Data, and business units to embed technology risk.
• Regulatory Compliance & Technology Standards
• Ensure compliance with relevant technology and cybersecurity regulations.
• Facilitate the escalation of risk and control issues requiring visibility by providing a cohesive and comprehensive view of assurance across the risk environment.
• Continuous monitoring of levels of IT risks across the business by tracking implementation of management action plans to mitigate or address identified risk, and issues as well as audit findings raised.
• Develop effective ways of working in partnership with key functions within the risk Business Unit and across other Business Units to ensure a consistent holistic approach to assurance and early communication of emerging issues.
• Prepare clear, concise risk reports, presentations, risk information and investigations for senior management, risk committees, and executive forums.
• Use the risk management tool as an enabling technology, including automated risk monitoring and reporting
• Providing independent oversight and advice on information and technology-related risks.
• Challenging and improving first-line management’s risk management practices.
• Identifying, evaluating, and assessing potential risks to our systems and data.
• Improving risk awareness and promoting a strong risk culture throughout the organization.

Personal Attributes and Skills 

• Proven experience in a Technology Risk and oversight capacity, such as IT Risk, IT Governance, IT Audit, or Information Security.
• A strong understanding of Cyber and IT Security best practices and principles.
• Experience with relevant risk methodologies and control frameworks like COBIT, ISO, NIST, and ITIL.
• Excellent analytical, communication, and interpersonal skills.
• Sound understanding of technology-enabled risk
• Identify, analyse and address risks appropriately in order to move the business forward
• A sound knowledge of the financial / retail banking industry, the mechanics of its operation and its trends. Familiarity with banking specific and other relevant legislation and regulations (e.g. Banks Act, Basel, TCF, POPI) is useful
• Communicate efficiently and effectively with the business at all levels
• Ability to work independently and meet deadlines
• Confidentiality and Integrity
• Structured analytical thinking and strong professional judgement
• Able to work at designated office or from home as and when required

Education and Experience 

• Bachelor’s degree in information systems / computer science / informatics / commerce /finance / audit
• A minimum of 5 years’ experience in Technology Risk, IT Audit, or Cybersecurity.
• Minimum 3 years’ financial services experience
• Professional Certifications advantageous - CRISC / CISA / CISM
   

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Key Purpose

• To ensure quality service delivery to all stakeholders while adhering to Discovery's SLA.

Key Outputs

The successful candidate for this position will be responsible for but not limited to:

• Providing product information and handling financial queries
• Answering inbound calls timeously
• Dealing with all queries through to resolution
• Maintaining accurate details of all queries
• Actively displaying the Discovery Service Standards
• Dealing with all queries through to resolution
• Administration functions
• Policy changes to the product
• Working on Discovery Systems

Key attributes and skills

• Self motivated and pro-active
• Team player
• Assertiveness and the ability to adapt to change
• Able to prioritise and work under pressure
• Very organised, positive, and service orientated
• Professional at all times
• Attention to detail
• Use listening skills to identify problems
• Receptive to clients complaints and queries

Qualifications & Experience

• Matric
• A tertiary education (preferably a Degree or Diploma), or in the process of completing a tertiary education
• Minimum 1 years call centre experience
• Excellent communication skills
• Proficiency in English
• MS Office
• FAIS accreditation highly advantageous

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Key Purpose

• This ML Engineer is responsible for designing, building, managing, and continuously improving the operational processes that support the deployment and maintenance of actuarial, machine learning, and other decision-support models. The role involves end-to-end project planning, cross-functional collaboration with actuarial, data science, analytics, and business teams, and delivering insights into process efficiency across business areas. It also includes reporting on the design, progress, and performance of models and related business processes to drive operational excellence and informed decision-making.

Areas of responsibility may include but are not limited to 

• Design and create implementation and testing processes for models in both a traditional and ML framework to ensure business decisions can be actioned quickly and effectively.
• Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance.
• Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments.
• Project planning and collaboration with actuarial, data science, underwriting, operational and system teams to ensure a smooth implementation process that reduces risks and achieves the required outcomes.
• Frequent monitoring and reporting on the progress and performance of existing models and processes, as well as presenting the design for new processes to upper management.
• Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise.
• Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings.
• Implementation of pricing changes in existing models on a frequent basis, to ensurethat changes in our pricing structure and strategies can be quickly actioned.
• Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams.

Skills and Knowledge:

• Modelling skills preferred (Basic)
• Programming Skills: SQL, Python (Intermediate)
• Microsoft Office (Excel, PowerPoint and Word) (Advanced)

Education and Experience

 Education:

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)
• Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)

 Minimum Experience:              

• At least 1-3 years’ experience within a data driven industry
• Experience with Databricks
• Experience with Azure ML solutions
• Experience with WTW Software (e.g., Radar Live) (advantageous)