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

Discovered MENA
London
2 days ago
Create job alert

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.