Risk Modelling Scientist | Sandton

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

Overview

Are you a highly skilled Data Scientist ready to apply your advanced analytical and machine learning expertise to the complex challenges of the Life and Non-Life Insurance industry? A leading provider of Tailored Risk Solutions is seeking an innovative Data Scientist to join our client’s Business Intelligence team. This is a key position where you will leverage large-scale data to drive insights, inform critical decision-making, and enhance our core insurance operations. This is your chance to build and operationalise predictive models that unearth hidden insights and directly improve business performance.

Responsibilities

• Advanced Modelling: Develop, implement, and validate cutting‑edge machine learning algorithms and statistical models. Your primary goal will be to build and operationalise predictive models to enhance our insurance operations.
• Data Strategy & Insights: Analyze complex datasets to identify crucial trends, patterns, and correlations. You will generate, test, and interpret working hypotheses to provide actionable insights that address business challenges.
• Engineering & Automation: Build scalable data pipelines and infrastructure for collecting, processing, and analysing large volumes of structured and unstructured data. You will also automate recurring processes and monitor their efficiency.
• BI Solution Development: Develop comprehensive BI solutions utilizing the Microsoft BI Stack, including SQL, ETL scripting, database programming, and reporting tools.

Experience

• A minimum of 4 years’ working experience as a Data Scientist or in a similar role, preferably within the life and non‑life insurance industry.

Qualifications

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

Technical Stack

• Proficiency in programming languages such as Python, R, or Java, C++, or C#.
• Extensive experience with T‑SQL and Microsoft SQL Server.
• Essential Azure Stack Experience: Power BI, Azure Data Factories, and Azure Synapse Analytics.
• Experience with data analysis and machine learning libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, Google Cloud Platform).

Core Competencies

• Strong understanding of statistical concepts, data modelling techniques, and the ability to translate business requirements into actionable insights.
• Must have excellent problem‑solving skills and effective communication for presenting complex ideas.