Lead Data Scientist

Envision Employment Solutions; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading employment solutions firm is looking for a Lead Data Scientist to steer AI initiatives, focusing on strategic AI leadership and enterprise-level platform scalability. The ideal candidate will have a Master's or PhD in related fields and over 5 years of experience in AI/ML. You'll manage AI teams and ensure compliance and governance in AI deployments while collaborating with executive management. This position is based in the United Arab Emirates.

Qualifications

• 5+ years of experience in AI/ML strategy, leadership, and delivery.
• Proven ability to build and scale enterprise-level AI/LLM platforms.
• 12+ years of overall experience required.

Responsibilities

• Define and drive AI roadmaps aligned with corporate goals.
• Oversee model lifecycle from experimentation to production.
• Design LLM-based ecosystems with RAG pipelines.

Skills

AI/ML strategy

Leadership

Enterprise AI platform scaling

Model orchestration

LLM and NLP expertise

Education

Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Anthropic Claude

Job description

Job Overview

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.

Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.

5+ years of experience in AI/ML strategy, leadership, and delivery. Minimum of 12 years of experience is required. Proven ability to build and scale enterprise-level AI/LLM platforms.

Technical & Strategic Requirements

• Strategic AI Leadership: Defines and drives AI roadmaps aligned with corporate goals.
• Oversees model lifecycle from experimentation to production.
• LLM & NLP (Architect Level): Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.
• Leads fine-tuning or domain-specific pretraining using proprietary datasets.
• Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.
• Defines governance, compliance, and security standards for LLM deployments.
• Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.

Infrastructure & Governance

• Owns data governance policies, feature stores, and model observability infrastructure.
• Collaborates with DevOps and Security to ensure scalability and resilience.

Team & Stakeholder Leadership

• Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).
• Communicates directly with executive management and non-technical stakeholders.
• Evaluates vendors and partnerships for AI acceleration.

Leadership Competencies

• Visionary mindset driving innovation across business units.
• Excellent executive communication and influence skills.
• Focused on measurable ROI, scalability, and ethical AI.
• Mentors senior scientists, defining best practices and research direction.