Senior Data Scientist — GenAI & Threat Analytics Lead

Remotedxb; Dubai; Hybrid; AED 350,000 - 600,000; Full time

Benefits offered by this job

Unlimited PTO

Work location flexibility

Parental leave (24 weeks)

Health benefits

Job summary

Expel is seeking an experienced data scientist to build and ship ML and GenAI systems, including anomaly detection models and LLM-powered analyst tools, in Dubai. You will communicate technical work clearly to stakeholders and collaborate with operations, engineering and service delivery for deployment.

Mentor colleagues, explore prompt engineering and knowledge retrieval with SMEs, stay current on advances, and contribute to cybersecurity initiatives that surface threats and empower analysts.

Qualifications

• 4+ years of professional data science experience building and shipping models in production.
• Proficiency in traditional ML (classification, regression, anomaly detection, clustering, time series).
• Hands-on experience with LLMs, prompt engineering, and vector stores.
• Experience with agentic systems and orchestration frameworks like LangChain or LlamaIndex.

Responsibilities

• Build and ship ML and GenAI systems, including anomaly detection models and LLM-powered analyst tools.
• Communicate technical work, successes, and failures clearly to stakeholders.
• Collaborate with operations, engineering, and service delivery for deployment and maintenance.
• Partner with SMEs to explore prompt engineering, knowledge retrieval, and agentic AI.
• Mentor and coach other data scientists and non-DS colleagues.
• Stay current on emerging AI techniques and research papers.

Skills

Python

SQL

Statistics

Communication

Machine Learning

Tools

Pandas

NumPy

LangChain

LlamaIndex

Job description

Expel is seeking an experienced data scientist to build and ship ML and GenAI systems, including anomaly detection models and LLM-powered analyst tools, in Dubai. You will communicate technical work clearly to stakeholders and collaborate with operations, engineering and service delivery for deployment.

Mentor colleagues, explore prompt engineering and knowledge retrieval with SMEs, stay current on advances, and contribute to cybersecurity initiatives that surface threats and empower analysts.