Data Scientist

Badger Holdings; George; On-site; ZAR 260,000 - 450,000; Full time

Job summary

Badger Holdings seeks a Junior Data Scientist to join the George office on-site, contributing to data science projects from data prep to model testing. You’ll work under guidance to build skills, handle assigned tasks, and learn how models are deployed and maintained.

You’ll develop your ability to explore data, create and evaluate models, and support dashboards and reports while communicating findings to business teams. This role offers growth in practical insurance analytics.

Qualifications

• Degree in data science or 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.
• Understanding of statistics, common machine learning methods and model evaluation.
• Ability to explain findings clearly and seek guidance when needed.
• Careful attention to data quality and willingness to learn from feedback.

Responsibilities

• 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.
• Investigate data issues and troubleshoot model outputs.
• Keep clear records of your analysis, code and modelling decisions.
• Contribute to dashboards and reports, and explain findings to business teams.

Education

A degree in data science or related quantitative field

Tools

Python

R

SQL

Snowflake

Power BI

Qlik Sense

Tableau

Job description

Data Scientist (1-3 years of relevant experience)

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

At Badger Holdings, we use data to solve practical insurance challenges. We’re looking for a Junior Data Scientist who enjoys working with data, asks thoughtful questions and wants to build experience in machine learning.

About the role:

You’ll contribute to data science projects, from preparing data and exploring patterns to building and testing models. With guidance from the team, you’ll develop your skills, take responsibility for assigned tasks and learn how models are deployed and maintained.

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.

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.

Why join us?

Build your experience on practical insurance projects in a company that supports new ideas and professional growth. Based in George, you’ll have the mountains and coast close by while developing your career in data science.