Insurance Data Scientist: Predictive Analytics & BI

Boardroom Appointments; Sandton; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Boardroom Appointments in South Africa seeks a data scientist to leverage data to drive insights, inform decision-making, and enhance our life and non-life insurance operations. You will work with cross-functional teams to develop data-driven solutions, build predictive models, and implement BI solutions using SQL, ETL practices and Power BI, applying advanced statistical methods.

Applicants should hold a relevant degree and 4+ years in data science, with strong Python/R/Java skills and

Qualifications

• Bachelor's degree in informatics, CS, statistics, mathematics or IT.
• 4+ years in data science or similar role, preferably in life and non-life insurance.
• Proficiency in Python, R or Java; experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong SQL/T-SQL experience; data modelling and experimental design knowledge.

Responsibilities

• Participate in analysis, design, development, troubleshooting and support of analytics platform.
• Analyze complex datasets to identify trends and correlations.
• Develop, implement and validate machine learning models.
• Build scalable data pipelines and BI solutions using MSBI stack.
• Collaborate with actuaries, underwriters, and stakeholders to integrate data science solutions.

Skills

Effective communication

Cross-functional collaboration

Problem solving

Data storytelling

Education

Bachelor's degree in Informatics/CS/Statistics/Math/IT

Tools

Python

R

Java

TensorFlow

PyTorch

scikit-learn

SQL Server

T-SQL

Power BI

Hadoop

Spark

Kafka

Azure

AWS

Job description

Boardroom Appointments in South Africa seeks a data scientist to leverage data to drive insights, inform decision-making, and enhance our life and non-life insurance operations. You will work with cross-functional teams to develop data-driven solutions, build predictive models, and implement BI solutions using SQL, ETL practices and Power BI, applying advanced statistical methods.

Applicants should hold a relevant degree and 4+ years in data science, with strong Python/R/Java skills and