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Lead Data Scientist

Job in Abu Dhabi, UAE/Dubai
Listing for: Discovered MENA
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 320000 - 520000 AED Yearly AED 320000.00 520000.00 YEAR
Job Description & How to Apply Below

In this position you will lead and inspire a team of Data Scientists in delivering advanced analytics and AI/ML solutions. For this position you must have experience working in highly regulated industries (government, banking, financial services etc.)

  • Manage the end-to-end delivery of data science projects, ensuring alignment with organization requirements and industry standards.
  • Recruit, mentor, and develop Data Scientists, fostering a collaborative, innovative, and inclusive team culture.
  • Engage with Stakeholder, collaborate with business leaders, product managers, engineers, and regulatory bodies to identify opportunities and translate business needs into AI and Machine Learning solutions.
  • Ensure Quality & Compliance on all data science work adheres to internal governance, data privacy, and regulatory standards, including UAE-specific regulations.
  • Fuel innovation by promoting continuous improvement by introducing new tools, techniques, and methodologies, and encourage experimentation within the team.
  • Communicate project progress, insights, and impact to technical and non-technical audiences, including senior leadership and regulatory stakeholders.
For this position you must have:
  • 5-8 years of experience in machine learning and data science, with proven technical leadership.
  • Expertise in Python, machine learning frameworks (e.g. PyTorch), data engineering tools (e.g., Spark).
  • Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
  • Proven track record of delivering complex data science projects in production environments, preferably within regulated industries (banking, government or financial services).
  • Experience deploying models on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI).
  • Experience leading, coaching, and inspiring data scientists teams.
  • Strong ability to translate business challenges into data science solutions and communicate value to stakeholders.
  • Master’s or PhD in Computer Science, Data Science, or a related field
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