Data Scientist Jobs at Badger Holdings (Pty) Ltd

What you’ll do

• Explore datasets to identify patterns and answer business questions.
• Build and test statistical and machine learning models with guidance from the team.
• Support model deployment and help monitor performance over time.
• Help investigate data issues and troubleshoot model outputs.
• Keep clear records of your analysis, code and modelling decisions.
• Contribute to dashboards and reports, and explain your findings to business teams.

Requirements

What you’ll need

• A degree in Data Science or a related quantitative field.
• 1–3 years of relevant experience in data science, analytics or machine learning.
• Practical experience using Python or R, and SQL to work with data.
• An understanding of statistics, common machine learning methods and model evaluation.
• The ability to explain your findings clearly and ask for guidance when needed.
• Careful attention to data quality and a willingness to learn from feedback

Experience that would be an advantage

• Exposure to insurance or financial services, Snowflake, or BI tools such as Power BI, Qlik Sense or Tableau would be useful. Familiarity with claims modelling, survival analysis, time series forecasting or model deployment would also be an advantage. These are not essential requirements.

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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

Requirements

What you’ll need

• 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.
• Experience in claims modelling and survival analysis.
• A strong foundation in statistical modelling and time series forecasting.

Experience that would be an advantage

• Short-term insurance experience, exposure to machine learning platforms, and proficiency in BI tools such as Power BI, Qlik Sense or Tableau.