Open Jobs at Badger Holdings (Pty) Ltd

Key Responsibilities:

• Enhance and extend our custom-built Streamlit telematics platform.
• Integrate Python apps with SQL databases, Azure services, and third-party APIs.
• Build and maintain data pipelines to support automated scoring and real-time reporting.
• Develop interactive dashboards and visualisations using Plotly Express, including geospatial views.
• Refactor existing code for performance, scalability, and modularity.
• Contribute to architectural and design decisions—prototype, test, and ship.
• Support AI/ML integration projects such as risk scoring, alerting, and event detection.

What We’re Looking For

Education & Experience:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or similar.
• 2–4 years building Python-based data apps (Streamlit, Dash, or Flask).
• Experience in insurance or telematics is a plus, but not required.

Technical Skills:

• Advanced Python (Pandas, Plotly, NumPy, SQLAlchemy).
• Experience with Streamlit, Reflex, or interactive dashboards.
• Strong working knowledge of SQL, REST APIs, and Azure cloud tools.
• Bonus: Geospatial libraries like GeoPandas, Folium, or similar.
• Comfortable with Git, VS Code, and modern coding standards.

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Your Key Responsibilities:

• Develop and enhance telematics-based scoring models to evaluate driver behaviour and risk profiles.
• Conduct deep statistical analysis on large insurance and telematics datasets to identify trends and risk signals.
• Build predictive models for pricing, claims forecasting, and behavioural insights.
• Collaborate with cross-functional teams to ensure model outputs drive effective product and business strategies.
• Improve driver risk indicators (e.g., claim probabilities, first notice of loss accuracy, behavioural flags).
• Present complex analyses and modelling results in a clear and compelling way to technical and non-technical stakeholders.

What We’re Looking For

Education & Experience:

• Bachelor’s or Honours degree in Actuarial Science, Statistics, Data Science, or related quantitative field.
• 2–4 years of experience in statistical modelling, actuarial analytics, or insurance data.
• Previous work in motor insurance or telematics-driven roles is a strong advantage.

Technical & Analytical Skills:

• Advanced knowledge of statistical modelling techniques (e.g., GLMs, correlation studies, distribution analysis).
• Proficiency in Excel, R, SAS, or similar actuarial/statistical tools.
• Experience working with SQL and large-scale datasets.
• Python skills are a bonus but not required.