Senior Data Scientist - Machine Learning

Mindtel; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading tech company in Dubai is looking for a Senior Data Scientist to design and deploy AI/ML models that deliver measurable business impact. The role involves managing the full lifecycle of machine learning projects, ensuring alignment with organizational goals, and promoting transparency and compliance in AI practices. Candidates should demonstrate expertise in translating complex business needs into actionable AI solutions while collaborating with stakeholders to develop project scopes and address risks. This position is key for driving AI adoption across the organization.

Responsibilities

• Design, develop, and deploy AI/ML models to deliver measurable business impact.
• Own the full lifecycle of machine learning projects.
• Ensure models are accurate and aligned with organizational goals.
• Translate complex business needs into practical AI solutions.
• Promote transparency and compliance in AI development.
• Collaborate with stakeholders to identify AI opportunities.
• Build and manage robust data pipelines and MLOps workflows.
• Ensure governance and regulatory compliance through audits.
• Present insights and recommendations to senior leadership.
• Serve as a subject matter expert supporting AI strategy.

Job description

Job Summary (List Format): Senior Data Scientist Machine Learning

• Design develop and deploy AI/ML models to deliver measurable business impact.
• Own the full lifecycle of machine learning projects from problem framing and data preparation to model training deployment and monitoring.
• Ensure models are accurate scalable and aligned with organizational goals.
• Translate complex business needs into practical AI solutions with clear performance metrics and governance.
• Promote transparency and compliance in AI development including Responsible AI practices (fairness bias mitigation explainability).
• Collaborate with stakeholders to identify AI opportunities define project scope and communicate risks/trade-offs.
• Build and manage robust data pipelines feature stores and MLOps workflows to support production ML systems.
• Ensure governance and regulatory compliance (GDPR ISO ICAO) through audits risk assessments and transparent reporting.
• Present insights and recommendations to senior leadership driving adoption of AI/ML initiatives.
• Serve as a subject matter expert supporting enterprise-wide AI strategy and best practices.