Description:
Analyse complex datasets to identify trends, patterns, and actionable insights
Develop, implement, and validate machine learning algorithms and statistical models
Build predictive models to uncover insights that support business decisions
Participate in the design, development, troubleshooting, and support of reporting and analytics platforms
Collaborate with actuaries, underwriters, and multidisciplinary teams to embed data science solutions into core business workflows
Develop BI solutions using SQL, ETL scripting, and the Microsoft BI Stack
Build scalable data pipelines and infrastructure to process structured and unstructured data
Automate recurring processes and monitor data-related workflows
Skills & Experience:
Bachelors degree or diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology
Proven experience as a Data Scientist, ideally within life or nonâ??life insurance
Proficiency in Python, R, Java, or related programming languages
Minimum 4 years experience with:
Power BI (essential)
Azure Data Factories (essential)
Azure Synapse Analytics (essential)
Microsoft SQL Server (critical)
Tâ??SQL (critical)
Python/R, C++, C#, Java (critical)
Strong understanding of statistical concepts, data modelling, and experimental design.
Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
Ability to communicate complex ideas clearly and collaborate across teams.
Competencies:
Ability to manage multiple tasks and react quickly to challenges.
Strong predictive modelling skills and BI development experience.
Excellent problem-solving capabilities and ability to translate business needs into data solutions.
Understanding of financial services, particularly insurance, is desirable.
Contact:
06 Feb 2026;
from:
gumtree.co.za