Job Description
This role is ideal for someone who enjoys solving real-world problems using machine learning, statistical modeling, and business intelligence. You’ll collaborate with actuaries, underwriters, and technical teams to integrate data science into core business processes. If you’re looking to grow your career in a dynamic, data-rich environment, this is the role for you.
Key Responsibilities:
Insightful Analytics
Analyze complex datasets to uncover trends, correlations, and actionable insights that inform business decisions
Predictive Modeling
Develop and operationalize machine learning models to improve forecasting, risk assessment, and customer engagement
Scalable Data Infrastructure
Build and maintain robust data pipelines for processing structured and unstructured data efficiently
Business Intelligence Solutions
Design and implement BI dashboards and reporting tools using the Microsoft BI stack and cloud platforms
Cross-Functional Collaboration
Work closely with actuaries, underwriters, and business stakeholders to embed data science into operational workflows
Process Automation
Automate recurring data processes and monitor performance to ensure reliability and scalability
Technical Excellence
Maintain high standards in coding, documentation, and testing across analytics and reporting platforms
Job Experience and Skills Required:
Bachelor’s degree or diploma in Informatics, Computer Science, Statistics, Mathematics, or IT
Minimum 4 years’ experience in data science or analytics, preferably in insurance
Proficiency in Python, R, Java, C++, C#, and SQL (T-SQL)
Experience with Power BI, Azure Data Factories, Azure Synapse Analytics
Strong understanding of statistical concepts, machine learning, and data modeling
Excellent communication and problem-solving skills
Apply now!
For more exciting Finance vacancies, please visit: www.********.co.za
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact: Recruitment Consultant, Bianca Langenhoven on email *****@*****.co.za LinkedIn! www.********.co.za
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