Data Scientist 1-3 Years Exp | On-Site | George, Western Cape

Badger Holdings; South Africa; Presencial; ZAR 240.000 - 360.000; Jornada completa

Descripción de la vacante

Badger Holdings is seeking a Junior Data Scientist to join our team in George, Western Cape. You will work with data to prepare datasets, perform exploratory analysis, and build basic machine learning models with team guidance.

You’ll learn how models are deployed, monitored, and iterated, while maintaining clear records of your analyses and decisions. This hands-on role offers growth in practical ML applications within the insurance space.

Formación

• 1–3 years of relevant data science experience.
• Interest in machine learning and analytics.
• Willingness to work on-site in George, Western Cape.

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.

Conocimientos

Python

Statistical modeling

Exploratory data analysis

Data wrangling

Herramientas

Jupyter

scikit-learn

Pandas

Descripción del empleo

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.