Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Scientist for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Main Responsibilities

• Identify and prioritize AI / ML use cases that deliver measurable business value and ROI.
• Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization.
• Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment.
• Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable.
• Collaborate with ML Engineers to productionize models using MLOps best practices and CI / CD pipelines.
• Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance.
• Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance.
• Partner with business stakeholders to translate complex business problems into actionable data-driven solutions.
• Conduct A / B testing and experimentation to measure model effectiveness and optimize outcomes.
• Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance.
• Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights.
• Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities.
• Stay current with latest AI / ML research and evaluate new technologies and techniques for business applications.
• Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models.
• Support the development of enterprise ML platforms and reusable AI / ML components.

Requirements

Main Requirements

Education

Experience & Skills

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