Position:
Graduate Digital Consultant at Mott MacDonald
Location:
Dubai, United Arab Emirates
Found email addresses for Layth Al:
Found phone for Layth Al:
May 2025 - Current
Sep 2024 - May 2025
May 2024 - Jul 2024
Aug 2023 - Dec 2023
Aug 2021 - Dec 2023
Dec 2022 - Jan 2023
Their professional focus is C++, Java, and Leadership across 3 core areas.
Master of Science in Machine Learning at American University of Sharjah
Bachelor of Science - BS at American University of Sharjah
What is Layth Al's email address?
SignalHire found a verified business email address for Layth Al: a******h@mottmac.com.What is Layth Al's phone number?
SignalHire found a verified phone number for Layth Al: +971-***-***-2425.How do I contact Layth Al at Mott MacDonald?
You can reach Layth Al through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Layth Al's professional background?
Layth Al has 5 years of professional experience. They have held roles including Graduate ITSM Specialist, Information Technology Intern, and Computer Science Grader at companies such as Mott MacDonald, Transmed, and American University of Sharjah. Their education includes Master of Science in Machine Learning from American University of Sharjah, and Bachelor of Science - BS from American University of Sharjah.Is Layth Al's contact information up to date?
Yes. Layth Al's SignalHire profile was last updated on 18 May 2026, reflecting their current position as Graduate Digital Consultant at Mott MacDonald in London, England, United Kingdom.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.