Junior Data Scientist: Grow with Insurance Analytics

Badger Holdings (Pty) Ltd; Cape Town; Presencial; ZAR 300.000 - 480.000; Tempo integral

Resumo da vaga

Badger Holdings is seeking a Junior Data Scientist to join our George-based team. You will work with data to explore patterns, build and test models, and contribute to dashboards and reports under guidance from senior colleagues.

You’ll gain hands-on experience in data preparation, modeling, deployment support, and model monitoring, while learning applied insurance data practices in a practical setting.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Analytical thinking

Clear communicator

Willingness to learn

Formação

Degree in data science or related quantitative field

Ferramentas

Python

R

SQL

Descrição da vaga

Badger Holdings is seeking a Junior Data Scientist to join our George-based team. You will work with data to explore patterns, build and test models, and contribute to dashboards and reports under guidance from senior colleagues.

You’ll gain hands-on experience in data preparation, modeling, deployment support, and model monitoring, while learning applied insurance data practices in a practical setting.