Discovered MENA
Lead Data Scientist
Discovered MENAUnited Arab Emirates14 hours ago
Full-timeManagement

Lead Data Scientist

📌 Abu Dhabi, fully on site


We’re looking for a Lead Data Scientist to drive innovation, guide technical excellence, and lead the development of cutting-edge AI and machine learning solutions.


In this role you will oversee a team of talented data scientists, collaborate closely with cross-functional teams, and act as a trusted technical advisor for clients and executive stakeholders. Your work will directly shape strategic decision-making and deliver real business impact.


💼 What You’ll Do

  • Lead end-to-end design, development, and deployment of advanced ML models and AI systems for client projects.
  • Define model architectures, establish best practices, and ensure high-quality code and strong MLOps governance.
  • Identify new opportunities to apply data science in client engagements and evaluate feasibility and impact.
  • Serve as a technical advisor to clients and executives, translating complex concepts into clear business insights.
  • Ensure solutions are scalable, maintainable, and aligned with strategic business objectives.
  • Coordinate cross-functional efforts across engineering, product, and business teams for smooth project delivery.
  • Mentor and coach junior and senior data scientists on methodologies, code quality, and professional development.


🔍 What You Bring:

  • 8+ years of experience in data science.
  • 3+ years in a leadership or senior role.
  • Strong background in AI consulting, leading projects and teams across industries such as oil & gas, telecom, healthcare, construction, finance, banking, technology, real estate, and media.
  • Expertise in strategic project management, MLOps, and coaching data scientists in high-impact consulting environments.
  • Strong experience working in Agile/Scrum settings and managing cross-functional coordination.
  • Prior pre-sales experience: proposal writing, estimations, and risk registers.

• Recognized contributions to open source, research, conferences, or leadership within analytics communities (highly valued).

Key Skills

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