Senior Data Scientist: ML Lifecycle Lead (On-site, George)

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

Job summary

Badger Holdings in George, Western Cape, is seeking an experienced Data Scientist to own end-to-end ML projects for insurance challenges. You will manage data prep, model development, deployment, and monitoring, presenting findings to business teams. Requires 5+ years in insurance/financial services and hands-on ML experience using Python or R and SQL/Snowflake.

The role is on-site in George, offering a path to scale data-driven solutions and dashboards for business use.

Qualifications

• A degree or honours qualification in data science.
• At least 5 years' experience in insurance or financial services.
• At least 5 years of hands-on machine learning experience, covering data preparation through to deployment.
• Proven experience with Python or R, and SQL/Snowflake.

Responsibilities

• Manage the full machine learning lifecycle from data prep to deployment, monitoring and 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.
• Document models, pipelines and processes for others to understand and maintain them.
• Create dashboards and reporting tools that help business teams use your findings.

Skills

Data science

Python or R

SQL/Snowflake

Time series

Statistical modelling

Feature engineering

Model deployment

Data wrangling

Education

Data science degree

Tools

Power BI

Qlik Sense

Tableau

Job description

Badger Holdings in George, Western Cape, is seeking an experienced Data Scientist to own end-to-end ML projects for insurance challenges. You will manage data prep, model development, deployment, and monitoring, presenting findings to business teams. Requires 5+ years in insurance/financial services and hands-on ML experience using Python or R and SQL/Snowflake.

The role is on-site in George, offering a path to scale data-driven solutions and dashboards for business use.