Lead Data Scientist

Wasl Group

A prominent analytics-focused firm in Dubai seeks a Principal Data Scientist to lead advanced data science initiatives.This role involves overseeing the design and deployment of machine learning solutions and mentoring data...

Last checked on May 15, 2026. We may earn a commission when you click through.

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If you're an expert in data science looking to lead significant projects, this is worth considering.

✓ Leadership role in a prominent firm ✓ Opportunity to innovate in AI ✓ Focus on mentoring and team development

Lead Data Scientist

Wasl Group

Updated 19 hours ago
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Dubai 📅 2026-04-09

If you're an expert in data science looking to lead significant projects, this is worth considering.

About this role

Wasl Group is a leading analytics firm in Dubai, focused on data-driven solutions and AI innovation.

About the Company

Wasl Group is a leading analytics-focused firm in Dubai, known for its innovative data solutions.

Key Highlights

  • Lead advanced data science initiatives
  • Oversee design and deployment of machine learning solutions
  • Mentor data professionals
  • Requires 10+ years of experience

💡 Honest Take: This position demands substantial experience and leadership in data science, making it ideal for seasoned professionals.

Pros

  • Leadership role in a prominent firm
  • Opportunity to innovate in AI
  • Focus on mentoring and team development

Cons

  • High experience requirement (10+ years)
  • Limited remote work options
  • Intense focus on analytics may not suit everyone

Best For: Ideal for those with a strong background in data science and machine learning.

Watch Out: Be prepared for a demanding pace and high expectations in project outcomes.

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What Customers Say

Employees value the mentorship opportunities and innovative projects, but note the high expectations.

Expert Review

Taking the lead in data science initiatives at Wasl Group means stepping into a pivotal role. With a requirement of over 10 years of experience, candidates will need a strong portfolio of machine learning projects. The focus here is on not just technical skills, but also mentoring younger professionals, making it a dual challenge.

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