Actuarial Data Scientist: Forecasting, Analytics & Insights

Betway Global; Wes-Kaap; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Super Group is seeking a Data Scientist for its Actuarial Modelling & Support team to forecast, analyse and drive business performance across a global organisation. You'll work at the intersection of actuarial science, data science and commercial decision-making, developing forecasting tools and delivering actionable insights.

You'll apply Python, SQL and Excel to build models, run scenario analyses and collaborate with Finance, Commercial and Tech teams to drive adoption of analytics across the

Qualifications

• Degree in Actuarial Science, Statistics, Mathematics or a related quantitative discipline.
• 3+ years' experience in an actuarial, modelling or analytics environment.
• Strong Python, SQL and Excel skills.
• Experience building analytical models and deriving actionable insights from data.
• Excellent communication skills with the ability to explain complex concepts to non-technical audiences.
• Progress towards actuarial qualifications is highly desirable

Responsibilities

• Developing and enhancing financial forecasting and modelling tools
• Building reporting dashboards and visualisations in Power BI
• Analysing customer and business performance data to identify trends and opportunities
• Running scenario modelling and forecasting exercises
• Collaborating with stakeholders across Finance, Commercial and Technology teams
• Applying statistical techniques, regression models and predictive analytics to solve business problems
• Supporting model users and helping drive adoption across the business

Skills

Python

SQL

Excel

Analytical thinking

Communication

Education

Actuarial Science/Statistics/Mathematics degree

Tools

Power BI

R

Tyche/Prophet

Job description

Super Group is seeking a Data Scientist for its Actuarial Modelling & Support team to forecast, analyse and drive business performance across a global organisation. You'll work at the intersection of actuarial science, data science and commercial decision-making, developing forecasting tools and delivering actionable insights.

You'll apply Python, SQL and Excel to build models, run scenario analyses and collaborate with Finance, Commercial and Tech teams to drive adoption of analytics across the