Insurance Data Scientist - Hybrid, East London

Placements24; East London; Híbrido; ZAR 800.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Professional development

Medical aid

Retirement fund

Descripción de la vacante

Placements24 in East London, Eastern Cape is seeking an Insurance Data Scientist to join our analytics team in a hybrid role. You will develop predictive models, analyze large data sources, and collaborate with stakeholders to drive underwriting, pricing, claims, and marketing insights.

The ideal candidate has 5+ years in data science within insurance, strong Python or R skills, and experience with ML libraries and big data tools. Excellent communication and mentoring abilities are essential.

Formación

• Master's or PhD in a quantitative field with data science focus.
• 5+ years of experience in data science within the insurance industry.
• Proficiency with Python or R and ML libraries such as scikit-learn, TensorFlow, PyTorch.

Responsabilidades

• Design and deploy predictive models for risk, pricing, claims, and churn.
• Analyze large datasets to identify trends and insights for insurance business.
• Collaborate with stakeholders to translate needs into data science solutions.
• Build and maintain data pipelines; ensure data quality for analytics.
• Communicate findings via visualizations and presentations to diverse audiences.
• Mentor junior analysts and stay updated on ML advances in insurance.

Conocimientos

Python

R

SQL

Pandas

scikit-learn

TensorFlow

PyTorch

Big data

Spark

Hadoop

Communication

Educación

Master's or Ph.D. in Data Science/Statistics/CS/Math

Herramientas

Spark

Hadoop

Descripción del empleo

Placements24 in East London, Eastern Cape is seeking an Insurance Data Scientist to join our analytics team in a hybrid role. You will develop predictive models, analyze large data sources, and collaborate with stakeholders to drive underwriting, pricing, claims, and marketing insights.

The ideal candidate has 5+ years in data science within insurance, strong Python or R skills, and experience with ML libraries and big data tools. Excellent communication and mentoring abilities are essential.