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Data Scientist

Badger Holdings Inc

Wes-Kaap

On-site

ZAR 500,000 - 700,000

Full time

Yesterday
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Job summary

A leading insurance data firm in Western Cape is seeking a Data Scientist to develop and deploy machine learning solutions addressing real-world problems. The ideal candidate will possess strong skills in data preparation, feature engineering, and model monitoring. This position is on-site, and candidates should be comfortable working independently while delivering impactful data solutions.

Qualifications

  • Experience with the full machine learning lifecycle.
  • Ability to work independently and troubleshoot issues.
  • Strong skills in data analysis and model monitoring.

Responsibilities

  • Develop and deploy machine learning solutions.
  • Prepare and clean raw data for analysis.
  • Monitor and retrain models to ensure efficacy.
  • Create dashboards and reporting tools.

Skills

Machine learning
Data preparation
Feature engineering
Exploratory data analysis
Model deployment
Job description
Overview

Data Scientist – Badger Holdings

George, Western Cape (On-site | Office-based)

At Badger Holdings, we don’t just crunch numbers, we use data to reshape insurance and solve real-world problems. We’re looking for a Data Scientist who’s ready to take ownership of the full machine learning lifecycle: from raw data, to insights, to deployed models that actually move the needle.

Purpose of the Role

You’ll be responsible for the development and deployment of machine learning solutions that tackle real business challenges. This means data preparation, exploratory data analysis, feature engineering, model development, deployment, monitoring — and doing it all without needing your hand held.

What You’ll Do
  • Prep, clean, transform and engineer features from raw data
  • Run exploratory data analysis to uncover insights & shape models
  • Build, validate and deploy machine learning models
  • Monitor and retrain models to stay ahead of drift
  • Troubleshoot and maintain deployed solutions
  • Document pipelines, models and processes clearly
  • Create dashboards & reporting tools for business teams
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