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.
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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