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:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
• Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
• Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
  
  

Experience & Skills:

• 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
• Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
• Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
• Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
• Demonstrated ability to work with structured and unstructured data (JSON, text, images)
• Deep understanding of statistical methods, experimental design, and hypothesis testing
• Proven track record in model deployment, monitoring, and lifecycle management
• Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
• Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
• Experience with deep learning, computer vision, and natural language processing (NLP)
• Knowledge of generative AI, LLMs, and real-time or edge ML deployment
• Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
• Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
• Excellent communication skills to explain complex analytical findings to non-technical audiences
• Strong leadership and mentoring abilities, with experience guiding data science teams