Insurance Data Scientist: Drive Risk & Growth with Data

Placements24; Noord-Kaap; On-site; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Conferences and training

Cutting-edge technology

Job summary

Placements24 in Kimberley seeks an experienced Insurance Data Scientist to lead advanced analytics initiatives in a dynamic data team. You will build predictive models for risk, fraud, and churn, and translate insights into business actions for insurance operations.

The role requires strong coding skills in Python or R, expertise in ML libraries, and proficiency with SQL and big data tools like Spark. A collaborative, data-driven environment awaits.

Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of professional experience as a Data Scientist, preferably in insurance or financial services.
• Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Develop and implement predictive models for risk scoring, fraud detection, and customer churn.
• Analyze large datasets to identify trends, patterns, and actionable insights for insurance operations.
• Design and execute A/B tests and other experiments to evaluate new strategies.
• Collaborate with business stakeholders to translate needs into data science solutions.
• Build data visualizations and dashboards to communicate findings to a diverse audience.
• Stay abreast of the latest advances in data science, ML, and AI.

Skills

Python

R

SQL

Machine learning

Analytics

Education

Master's degree

PhD preferred

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Tableau

Power BI

Job description

Placements24 in Kimberley seeks an experienced Insurance Data Scientist to lead advanced analytics initiatives in a dynamic data team. You will build predictive models for risk, fraud, and churn, and translate insights into business actions for insurance operations.

The role requires strong coding skills in Python or R, expertise in ML libraries, and proficiency with SQL and big data tools like Spark. A collaborative, data-driven environment awaits.