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Senior Specialist, Data Science & Analytics

Unlock employer Riyadh, Saudi Arabia Posted: 17 Jun 2026

Financial

  • Estimate: $43k - $56k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

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 Senior Specialist, Data Science & Analytics position. 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
Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.

Key Accountabilities

  • Develop, test, and validate machine learning, deep learning, and Generative AI models (including LLM-based applications).
  • Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  • Perform feature engineering, model tuning, and performance optimization.
  • Prepare, cleanse, and transform structured and unstructured datasets.
  • Support deployment of ML and GenAI models using MLOps and LLMOps practices.
  • Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
  • Integrate AI solutions via APIs into enterprise systems.
  • Document model design, assumptions, risks, and validation results.
  • Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
  • Support monitoring, retraining, and lifecycle management of deployed models.

Minimum Qualification, Experience and Competencies

  • Minimum Qualification: Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
  • Minimum Experience: 4–6 years in data science, machine learning, or applied AI roles.

Skills

  • Python, SQL, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Prompt engineering, RAG pipelines & vector databases
  • Model fine-tuning and evaluation
  • Data preprocessing & feature engineering
  • Basic cloud deployment concepts
  • MLOps / LLMOps fundamentals
  • Analytical problem-solving
  • Results Orientation
  • Collaboration
  • Continuous Improvement
  • Accountability

Benefits

  • Career Growth
  • Competitive Salaries
  • Comprehensive Package
  • Inclusive Work Environment
  • Work-Life Balance
  • Employee wellness

Location
Riyadh, Saudi Arabia

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