Insurance Data Scientist

About the Role

Our client is seeking a visionary Insurance Data Scientist to drive data-driven insights and innovation across their operations, with a focus on enhancing customer experience and operational efficiency for clients across South Africa , including the Stellenbosch region. You will be responsible for developing predictive models, analyzing vast datasets, and extracting actionable intelligence to optimize underwriting, pricing, claims management, and fraud detection.

This is a fully remote role, offering the ultimate flexibility to work from any location and collaborate with a diverse, international team of experts dedicated to transforming the insurance landscape through advanced analytics.

• Design, develop, and deploy machine learning models for predictive analytics, risk assessment, and fraud detection.
• Analyze large and complex datasets using advanced statistical techniques and programming languages (Python, R).
• Extract, clean, and transform data from various sources to prepare it for modeling and analysis.
• Develop dashboards and visualizations to communicate data insights and model performance to stakeholders.
• Collaborate with product, underwriting, and claims teams to identify opportunities for data-driven improvements.
• Stay at the forefront of data science methodologies and tools, applying them to solve insurance-specific challenges.

• Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proven experience as a Data Scientist , with a strong portfolio of successful modeling projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.
• Excellent communication and presentation skills, with the ability to translate complex findings into business solutions.

• An exceptionally competitive salary and a comprehensive performance bonus structure.
• Full suite of benefits including health, retirement, and life insurance.
• Access to cutting-edge technology and professional development resources.
• A completely remote work arrangement fostering ultimate flexibility and work-life balance.
• The opportunity to shape the future of insurance through data innovation.