Lead Data Scientist

Envision Employment Solutions; Dubai; On-site; AED 165,000 - 239,000; Full time

Job summary

A leading employment solutions provider in Dubai is seeking a Lead Data Scientist to drive AI initiatives and lead multidisciplinary teams. Candidates should have extensive experience in AI/ML strategy and a strong background in building enterprise-level platforms. The ideal candidate will work closely with executive management and ensure compliance with governance standards. This role offers competitive compensation and significant responsibilities in a dynamic environment.

Qualifications

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

Responsibilities

• Defines and drives AI roadmaps aligned with corporate goals.
• Models lifecycle management from experimentation to production.
• Owns data governance policies and collaborates with DevOps.
• Builds and manages multidisciplinary AI teams.
• Mentors senior scientists and defines best practices.

Skills

AI/ML strategy

Leadership

Enterprise-level AI platform scaling

Governance and compliance

Model evaluation

Education

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

Tools

Azure OpenAI

AWS Bedrock

Anthropic Claude

Google Vertex AI

Job description

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.