Senior Data Scientist

Envision Employment Solutions; United Arab Emirates; On-site; AED 312,000 - 404,000; Full time

Job summary

A leading recruitment firm is seeking a Senior Data Scientist to work with a global leader in IT Services and Consulting. Candidates should have a strong background in machine learning and natural language processing, along with leadership experience in data science projects. This position offers the opportunity to work on innovative solutions that integrate AI into production systems.

Qualifications

• 4 to 6 years of experience required.
• Strong record of production-grade ML/NLP projects.
• Experience leading small data science teams or research initiatives.

Responsibilities

• Leads small teams or workstreams.
• Ensures project quality, deadlines, and alignment with business KPIs.
• Coaches mid-level team members and contributes to talent development.

Skills

Production-grade ML/NLP projects

Leading small data science teams

Model architecture design

Ensemble blending

A/B testing

Model explainability (SHAP, LIME)

Transformers for custom tasks

RAG (Retrieval-Augmented Generation)

Embedding-based semantic search

Integrate vector databases (Pinecone, FAISS, Chroma)

LangChain or LlamaIndex

Data pipeline design (Airflow, Spark, Dataiku)

Scalable APIs deployment

CI/CD, monitoring, and drift detection

Education

Bachelor’s degree in Data Science, AI, or Computer Science

Master’s degree in Data Science, AI, or Computer Science

Job description

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

Qualifications

• Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.
• 4 to 6 years of experience is required.
• Strong record of production-grade ML/NLP projects.
• Experience leading small data science teams or research initiatives.

Technical Requirements

• Deep expertise in model architecture design, feature stores, and model monitoring.
• Experience in ensemble blending, A/B testing, and model explainability (SHAP, LIME).
• Builds and fine-tunes transformer-based models for custom tasks (summarization, Q&A, document intelligence).
• Implements RAG (Retrieval-Augmented Generation) and embedding-based semantic search.
• Integrates vector databases (Pinecone, FAISS, Chroma).
• Uses LangChain or LlamaIndex for orchestration.
• Evaluates and optimizes prompt templates and context length efficiency.
• Designs data pipelines (Airflow, Spark, Dataiku).
• Deploys scalable APIs, manages CI/CD, monitoring, and drift detection.
• Works closely with product and engineering teams to embed AI in production systems.

Leadership & Soft Skills

• Leads small teams or workstreams.
• Ensures project quality, deadlines, and alignment with business KPIs.
• Coaches mid-level team members and contributes to talent development.