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Dotsure Statistical Modeller (George, Western Cape)

Badger Holdings Ltd

George

On-site

ZAR 200,000 - 300,000

Full time

Today
Be an early applicant

Job summary

An innovative data analytics company in George, Western Cape, is seeking a Dotsure Statistical Modeller. In this role, you will develop models to evaluate driver behavior and improve risk assessments. The ideal candidate has a Bachelor's degree in a quantitative field and 2–4 years of relevant experience. This opportunity offers a chance to work with large datasets and collaborate with various teams to drive business strategies.

Qualifications

  • 2–4 years of experience in statistical modelling or actuarial analytics.
  • Experience in motor insurance or telematics-driven roles is advantageous.

Responsibilities

  • Develop and enhance telematics-based scoring models.
  • Conduct deep statistical analysis on large datasets.
  • Build predictive models for pricing and claims forecasting.
  • Collaborate with cross-functional teams for effective strategies.
  • Improve driver risk indicators.
  • Present analyses to stakeholders.

Skills

Statistical modelling
Data analysis
Predictive modeling
Collaboration

Education

Bachelor’s or Honours degree in a quantitative field
Job description
Overview

Job title: Dotsure Statistical Modeller (George, Western Cape)

Job Location: Western Cape, George

Deadline: October 03, 2025

Key Responsibilities
  • Develop and enhance telematics-based scoring models to evaluate driver behaviour and risk profiles.
  • Conduct deep statistical analysis on large insurance and telematics datasets to identify trends and risk signals.
  • Build predictive models for pricing, claims forecasting, and behavioural insights.
  • Collaborate with cross-functional teams to ensure model outputs drive effective product and business strategies.
  • Improve driver risk indicators (e.g., claim probabilities, first notice of loss accuracy, behavioural flags).
  • Present complex analyses and modelling results in a clear and compelling way to technical and non-technical stakeholders.
Education & Experience

Education & Experience :

  • Bachelor’s or Honours degree in Actuarial Science, Statistics, Data Science, or related quantitative field.
  • 2–4 years of experience in statistical modelling, actuarial analytics, or insurance data.
  • Previous work in motor insurance or telematics-driven roles is a strong advantage.
  • Research / Data Analysis jobs
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