Data Scientist 5+ Years Exp | On-Site | George, Western Cape

Badger Holdings; South Africa; Sur place; ZAR 700 000 - 1 000 000; Plein temps

Résumé du poste

Badger Holdings in George, Western Cape seeks an experienced Data Scientist to own end-to-end ML projects from data prep to deployment and monitoring. You will translate business questions into robust models and scale them into practical solutions for insurance challenges.

You’ll work independently, document models and pipelines, build dashboards, and present findings to business teams. A minimum of 5 years in data science and a hands-on ML background are required for this on-site role.

Responsabilités

• 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 finding

Description du poste

Data Scientist (5+ years of relevant exp required)

George, Western Cape | On-site, office-based

At Badger Holdings, we use data to solve practical insurance challenges. We're looking for an experienced Data Scientist who can take ownership of machine learning projects and turn business questions into solutions that work in practice.

About the role

You’ll manage the full machine learning lifecycle, from preparing data and developing models to deployment, monitoring and ongoing improvement. You’ll work independently, take responsibility for your solutions and present findings clearly to business teams.

What you’ll do

• 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 finding