Senior Data Scientist - On-site George | Insurance/FinServ

Badger Holdings (Pty) Ltd; George; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Badger Holdings (Pty) Ltd in George, Western Cape, is seeking an experienced Data Scientist to own machine learning projects from data preparation to deployment and monitoring.

You’ll build, validate and deploy models, explore data for patterns, and create dashboards that translate findings for business teams. The role is on-site, requiring 5+ years in insurance/financial services and hands-on ML with Python or R and SQL/Snowflake.

Qualifications

• A degree or honours qualification in data science.
• 5+ years’ experience in insurance or financial services.
• 5+ years of hands-on machine learning experience from data prep to deployment.
• Proven experience with Python or R, and SQL/Snowflake.
• Experience in claims modelling and survival analysis.
• Strong foundation in statistical modelling and time series forecasting.

Responsibilities

• Manage the full machine learning lifecycle, from preparing data and developing models to deployment, monitoring and ongoing improvement.
• Prepare, clean and transform data, and engineer features for modelling.
• Explore data to identify patterns and guide model development.
• Build, validate and deploy machine learning models.
• Monitor model performance, investigate drift and retrain models when needed.
• Troubleshoot deployed solutions and maintain reliable pipelines.
• Document models, pipelines and processes so others can understand and maintain them.
• Create dashboards and reporting tools that help business teams use your findings

Skills

Python

R

SQL/Snowflake

Machine learning

Statistical modelling

Time series forecasting

Claims modelling

Survival analysis

Education

Degree in data science

Tools

Power BI

Tableau

Qlik Sense

Job description

Badger Holdings (Pty) Ltd in George, Western Cape, is seeking an experienced Data Scientist to own machine learning projects from data preparation to deployment and monitoring.

You’ll build, validate and deploy models, explore data for patterns, and create dashboards that translate findings for business teams. The role is on-site, requiring 5+ years in insurance/financial services and hands-on ML with Python or R and SQL/Snowflake.