Website Badger Holdings (Pty) Ltd
Badger Holdings is a specialised insurance and related services company. Founded in 1995, we currently employ over 700 staff members across South Africa and Australia and insure over 180 000 clients with premiums in excess of US$100 million. Through a unique blend of skills and expertise, Badg… read moreer Holdings has grown into a formidable force in the insurance landscape. We have been helping insurance and related companies to maximise their potential for almost two decades. Our success lies in establishing innovative insurance entities and partnering with great people who have excellent track records. We give them the means to grow sustainably into the future by providing expert assistance and advice on legal matters, training needs, marketing requirements and new product development. We believe that it is through partnership that companies will reach their full potential and achieve successful growth. That is why Badger Holdings embraces and encourages opportunities to establish firm, committed and longstanding business relationships. Our chairman often tells the story that inspired his vision for the group – about his friend who was about to crash in a glider plane. He prayed to be saved and felt a gentle wind lift the wings of the plane and gently help to land him. We see relationships and gentle landings in times of need as our offering.
Your day-to-day will include:
Preparing and transforming data for machine learning (cleaning, feature engineering, optimisation)
Conducting exploratory analysis to uncover trends and guide model design
Building, testing, and deploying machine learning models aligned to business needs
Collaborating with actuarial teams to align assumptions and modelling approaches
Validating models and ensuring performance, accuracy, and reliability
Monitoring live models for drift and performance degradation
Maintaining, retraining, and improving models over time
Creating clear documentation for models, pipelines, and processes
Developing dashboards and reporting tools to track performance and KPIs
Communicating insights and recommendations to both technical and non-technical stakeholders
Requirements:
A degree (Honours preferred) in Data Science, Actuarial Science, Statistics, Mathematics, or a related field
3+ years’ experience in data science or machine learning roles
Strong Python and R skills, with proven experience building and deploying models
Solid experience across the full ML lifecycle (data → model → deployment)
Hands-on experience with statistical modelling, machine learning, and time series forecasting
The ability to translate technical outputs into clear business value
Strong communication and stakeholder engagement skills, particularly with actuarial teams
A proactive, energetic mindset and a genuine passion for data and innovation
Nice to have:
Experience in insurance (especially short-term insurance)
Exposure to CLTV modelling, claims modelling, survival analysis, or actuarial-related work
Experience with dbt, Snowflake, GCP, or similar cloud platforms
Familiarity with MLOps practices and machine learning platforms
Experience with BI tools (Power BI, Tableau, Looker, Qlik, etc.)
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