Data Scientist
Super Group International is seeking a highly analytical and commercially minded Data Scientist / Actuarial Analyst to play a key role in modelling and analysing the financial performance of the business. As a core member of the team, the successful candidate will combine actuarial expertise, data science techniques, and a strong understanding of Super Group's business operations to develop credible financial models, generate actionable insights, and support strategic decision-making.
The role involves leveraging statistical analysis, predictive modelling, and data-driven problem solving to identify opportunities, assess risks, and provide recommendations that drive sustainable business value and operational excellence. The individual will contribute to the ongoing development and enhancement of financial models and collaborate with cross-functional teams to integrate model outputs into group financial systems, reporting platforms, and business processes.
- Assist in the ongoing development and enhancement of the SuperModel, including coding, testing, debugging, and implementing model improvements.
- Develop, maintain, and enhance user-friendly tools that support assumption setting and model inputs.
- Design, develop, and maintain reporting dashboards and visualisations using Power BI to support business decision-making.
- Collaborate with cross-functional teams to integrate SuperModel outputs into group financial systems, reporting platforms, and business processes.
- Support the onboarding of new users and provide ongoing technical assistance and training to non-actuarial users of the SuperModel.
- Utilise the SuperModel to support financial forecasting and business planning activities.
- Extract, transform, validate, and analyse customer and transactional data.
- Develop and set model assumptions based on historical experience, trends, and future business expectations.
- Execute model runs and analyse, interpret, and report on forecasting results.
- Conduct scenario analysis to evaluate potential business outcomes and support strategic decision-making.
- Develop and apply regression models and other statistical techniques to analyse business performance and inform forecasting assumptions.
- Perform ongoing analysis of the commercial performance of Super Group's markets and subsidiaries to inform the structure, design, and future development of the SuperModel.
- Conduct ad hoc business and actuarial analyses, including the assessment of persistency rates and other key performance metrics.
- Bachelor's degree (BSc, BBusSc, or equivalent three- or four-year qualification) with Actuarial Science and Statistics as major subjects. (required)
- Minimum of 3 years' actuarial experience, preferably within an actuarial valuations, pricing, or modelling environment in the life insurance or retirement funds industry. (required)
- Advanced proficiency in Microsoft Excel. (required)
- Intermediate-level SQL skills. (required)
- Demonstrated experience and strong aptitude in Python or other programming languages commonly used within data science, analytics, or modelling environments. (required)
- Progress towards actuarial qualification, including having passed or been granted exemption for the following ASSA examinations (or equivalent): A213 Contingencies, A211 Financial Mathematics, A113 Business Finance. (required)
- Strong written and verbal communication skills, with the ability to translate complex actuarial, financial, and technical concepts into clear and accessible information for non-technical audiences. (required)
- Proven report-writing skills with a high level of attention to detail and accuracy. (required)
- Strong analytical and problem-solving capabilities, with the ability to interpret data and provide meaningful business insights. (required)
- Experience developing and maintaining models within cashflow modelling software such as Tyche, Prophet, or similar actuarial modelling platforms. (nice-to-have)
- Experience applying stochastic modelling techniques and Monte Carlo simulations to support forecasting, risk assessment, and business analysis. (nice-to-have)
- Practical experience in developing and applying Generalised Linear Models (GLMs) and conducting time series analysis. (nice-to-have)
- Experience designing, developing, and maintaining dashboards and reports using Power BI or similar business intelligence and data visualisation tools. (nice-to-have)
- Working knowledge of R or comparable statistical programming languages used for actuarial, analytical, or data science applications. (nice-to-have)
- Progress towards actuarial qualification, with preference given to candidates who have passed or been granted exemption for the following ASSA examinations (or equivalent): NS Model, Documentation Analysis and Reporting (A402/A420) or Module 3 of N111: Modelling Fundamentals, N211 Professional Communications for Actuaries. (preferred)
- Experience providing analytical, actuarial, or business consulting services to clients, including stakeholder engagement and presenting findings and recommendations. (nice-to-have)
- Demonstrated ability to translate complex technical analyses into practical business insights and recommendations for a variety of stakeholders. (nice-to-have)
- Supergrowth learning and development programmes
- Performance feedback tools
- Employee Assistance Programme
- Group Life Cover
- Funeral Fund Benefit
- Income Continuation Benefit
- Medical Aid Subsidy
- Retirement Annuity Subsidy
DigiOutsource is a global iGaming technology and services company and part of Super Group (SGHC), the holding company behind the Betway and Spin brands. Headquartered in Cape Town, South Africa, with offices in London and Portugal, it provides software development, digital marketing, business intelligence, design and communications services that power leading online gaming brands. The company employs around 1,200 people across multiple continents. DigiOutsource was formed from the merger of the ForwardSlash and SpeakUp Communications businesses and operates as a key technology hub within Super Group.