Senior Data Scientist - Graph & GenAI for Fraud

Indsafri; South Africa; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Indsafri is seeking a Senior Data Scientist to join the advanced analytics team in South Africa. You will lead end-to-end data solutions, applying machine learning, graph analytics, and GenAI to fraud detection and financial crime prevention.

Expertise in Python and cloud platforms is essential for production deployment. You will design predictive models, develop knowledge graphs, and guide data-driven decisions across enterprise datasets.

Qualifications

• Extensive experience with Python and core data science libraries.
• Hands-on graph analytics experience with graph databases or network analysis.
• Strong ML knowledge and production deployment expertise.

Responsibilities

• Model development: design, build, and deploy predictive models and analytics solutions.
• Graph analytics: implement knowledge graphs to reveal patterns in complex data.
• GenAI integration: leverage graphs to enhance model context and performance.
• Feature engineering: develop robust pipelines for model accuracy and efficiency.
• Lifecycle management: manage data prep, experimentation, and deployment.
• Technical leadership: drive best practices in code quality and scalability.

Skills

Python

Pandas

NumPy

Scikit-Learn

PyTorch/TensorFlow

Graph analytics

Neo4j

Knowledge graphs

AWS

GCP

Azure

MLOps

Tools

Docker

Kubernetes

CI/CD

Job description

Indsafri is seeking a Senior Data Scientist to join the advanced analytics team in South Africa. You will lead end-to-end data solutions, applying machine learning, graph analytics, and GenAI to fraud detection and financial crime prevention.

Expertise in Python and cloud platforms is essential for production deployment. You will design predictive models, develop knowledge graphs, and guide data-driven decisions across enterprise datasets.