National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

SVP/Senior Director of Data Science - GenAI (relocate to UAE, tax free)

Discovered MENA
London
1 month ago
Applications closed

Related Jobs

View all jobs

Central Operations Enterprise Data Architect - SVP

Central Operations Enterprise Data Architect - SVP | London, UK

Azure Data Architect

Pre Sales Data Architect

VP Analytics – 2nd in Command at 80 person strong Data Analytics unit

▷ [3 Days Left] VP Analytics – 2nd in Command at 80 person strong Data Analytics unit...

SVP/Senior Director of Data Science – AI & LLM Innovation

Location: United Arab Emirates (UAE) | On-Site

International applicants welcome – full relocation package available.


Lead AI Innovation with LLMs & Generative AI

A leading UAE financial institution is expanding its AI capabilities with a dedicated AI & Data Science team focused on deployingLLMs, RAG, and Generative AIat scale. With several AI products already in production and a roadmap to launch 10+ AI-driven solutions in 2025, this role blends the resources of a major enterprise with the agility of an innovation hub.

We seek aSVPof Data Scienceto lead the development of cutting-edge AI solutions, drive innovation inLLMs and GenAI, and oversee the full lifecycle of AI-driven products. This is a strategic role, requiring hands-on leadership inbuilding, scaling, and deploying AI models that deliver real business impact.


Key Responsibilities

  • Lead AI innovationwith a focus onLLMs, Generative AI, and RAGfor real-world applications.
  • Drive end-to-end development and deployment of AI modelsfrom ideation to production.
  • Build and scale an elite data science team, fostering a high-performance culture.
  • Develop and implement AI strategiesthat transform business operations and customer experiences.
  • Work cross-functionally to embed AI into core products and services.
  • Stay ahead of advancements inLLMs, GenAI, and retrieval-augmented generationto ensure cutting-edge solutions.
  • DefineAI governance, scalability, and commercializationstrategies for sustainable impact.


Your Profile

  • 12+ years of data science & AI experience, with5+ years leading AI-driven product development.
  • Proven track record inbuilding and deploying LLMs, RAG, and GenAI-powered solutions.
  • Strong hands-on experience inNLP, ML, deep learning, and AI architecture.
  • Leadership in managingAI researchers, ML engineers, and data science teams.
  • Experience drivingAI adoption and commercializationin large organizations.
  • Background infinancial services, fintech, or AI-driven enterprisespreferred.
  • Degree inCS, AI, Data Science, or related field(advanced degree preferred).


This is a career-defining opportunity to lead AI-driven transformation in one of the Middle East’s top financial institutions.


Apply now to be considered—this is an ON-SITE role and requires relocation.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.