Principal Specialist Data Science & Artificial Intelligence

Job description

About the employer. the employer, established in 1997, is one of the fastest-growing mining companies worldwide and the largest multi‑commodity mining and metals company in the Middle East. Role: The Principal Specialist, Data Science & Artificial Intelligence will lead advanced data science and analytics initiatives within the Agentic AI department in Riyadh. The role translates complex business problems into scalable analytical solutions, AI‑enabled insights, predictive models, and decision intelligence products. It contributes to building enterprise capabilities that leverage trusted data, machine learning, automation, and agentic AI concepts to boost productivity, operational performance, and business decision‑making. Responsibilities: Translate business priorities and operational challenges into clear data science problem statements, analytical approaches, and measurable outcomes, design and deliver predictive, prescriptive, diagnostic, and exploratory analytics solutions to support decision‑making, develop machine learning models, statistical analyses, simulations, optimization methods, and advanced analytics products using enterprise data assets, support agentic AI use cases by defining data, model, workflow, evaluation, and decision‑support requirements, collaborate with AI engineers, platform teams, data engineers, and business stakeholders to embed analytics and machine learning into autonomous or semi‑autonomous workflows, create reusable analytical assets, data science patterns, feature logic, model components, and decision intelligence products, partner with data platform, governance, and architecture teams to ensure data products are trusted, well‑documented, reusable, and operationally maintainable, apply appropriate data science governance practices for model validation, performance monitoring, bias checks, versioning, deployment readiness, and lifecycle management, provide expert guidance to analysts, data scientists, engineers, and business teams on analytical methods, model design, and adoption, advise stakeholders on realistic analytics or AI capabilities, data readiness, implementation complexity, and expected value

Requirements

• minimum of 10 years of experience in data science and artificial intelligence
• ability to translate business problems into analytical solutions
• proficiency in developing and deploying machine learning models and advanced analytics products
• knowledge of data governance practices, model validation, and performance monitoring
• strong communication skills to convey insights, risks, and recommendations

Skills