Predictive Risk Modeling Scientist

The Recruitment Council; Sandton; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading provider of Tailored Risk Solutions is seeking a Data Scientist to apply advanced analytical and machine learning skills in the Life and Non-Life Insurance industry. You will develop and operationalise predictive models, analyze complex datasets, and create scalable data solutions. Ideal candidates have a degree in IT or related fields and a minimum of 4 years' experience, preferably in insurance. This is an opportunity to make a significant impact on business performance.

Qualifications

• Minimum of 4 years of working experience as a Data Scientist or similar role.
• Preferably within the life and non-life insurance industry.

Responsibilities

• Develop, implement, and validate cutting-edge machine learning algorithms.
• Analyze complex datasets to identify crucial trends and insights.
• Build scalable data pipelines for large volumes of data.
• Develop comprehensive BI solutions using the Microsoft BI Stack.

Skills

Advanced Modelling

Data Strategy & Insights

Engineering & Automation

BI Solution Development

Problem-solving

Education

Bachelor’s Degree/Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology

Tools

Python

R

Java

T-SQL

Microsoft SQL Server

Power BI

TensorFlow

Hadoop

Job description

A leading provider of Tailored Risk Solutions is seeking a Data Scientist to apply advanced analytical and machine learning skills in the Life and Non-Life Insurance industry. You will develop and operationalise predictive models, analyze complex datasets, and create scalable data solutions. Ideal candidates have a degree in IT or related fields and a minimum of 4 years' experience, preferably in insurance. This is an opportunity to make a significant impact on business performance.