About
The company, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are pleased to share an exciting opportunity for the position of Principal Specialist, Data Science & Analytics. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.
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Job Purpose
The Lead Specialist, Data Science & Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across the company. The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
Key Accountabilities
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Lead End-to-End Data Science Delivery
- Own the full lifecycle of ML/AI initiatives from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
- Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
- Perform statistical analysis to understand and interpret data insights.
- Build predictive models and machine learning algorithms to forecast future outcomes.
- Work with cross-functional teams to understand business needs and provide data-driven solutions.
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Translate Business Needs into AI/Analytics Solutions
- Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions.
- Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
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Industrialize AI/ML Models
- Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
- Ensure seamless integration of predictive and optimization models into enterprise platforms.
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Responsible AI, Quality & Governance
- Ensure compliance with the company’s Responsible AI, data quality, and data governance frameworks.
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Stakeholder Management & Value Realization
- Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
Requirements
- Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
- 8–10 years’ experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred.
- Proven ability to translate business problems into analytic approaches and synthesize results into clear recommendations.
- Strong proficiency with modern ML frameworks and cloud platforms such as TensorFlow, PyTorch, Azure, AWS.
- Hands-on experience developing and deploying machine learning models, including time-series forecasting and predictive modeling.
Benefits
- Career Growth
- Competitive Salaries
- Comprehensive Package
- Inclusive Work Environment
- Work-Life Balance
- Employee wellness
Location
Riyadh, Saudi Arabia
