Senior Data Scientist

UMATR; Abu Dhabi; On-site; AED 391,000 - 446,000; Full time

Benefits offered by this job

Relocation flights

Temporary accommodation provided

Job summary

UMATR is seeking a Senior Data Scientist in Abu Dhabi to build and improve machine-learning models that identify suspicious activity and emerging risks across large-scale digital interactions. The role combines research-led modelling with production readiness in a high-stakes environment.

You will apply statistical modelling, supervised learning and neural networks to detect rare events, ensure explainability and scale models for real-time decisions. Relocation support is provided.

Qualifications

• 5+ years of experience in data science or machine learning, with a strong focus on modelling.
• Experience building models for fraud, risk, security or other rare-event problems.
• Strong knowledge of classification, predictive modelling and structured data.
• Experience working with rare events and highly imbalanced datasets.
• Excellent statistical reasoning, experimental-design and feature-engineering skills.
• Expert-level Python and strong software-engineering fundamentals.
• Experience taking models from research and experimentation through validation and production.
• Understanding of model explainability, monitoring and drift detection.
• Experience with large-scale behavioural, transactional, operational or event-based datasets.
• Experience working with dynamic, high-volume datasets is advantageous.

Responsibilities

• Detect rare risk events across millions of legitimate interactions while controlling false positives.
• Identify new and evolving patterns before large labelled datasets are available.
• Build models for risk scoring, fraud prevention and anomaly detection.
• Distinguish legitimate changes in activity patterns from anomalous events.
• Engineer signals from large-scale event, interaction and transactional data.
• Monitor model performance and respond to changing patterns and data drift.
• Develop explainable models that help stakeholders understand why activity has been flagged.
• Improve the reliability and scalability of models used in real-world decision systems.

Skills

Python

ML modelling

Statistical reasoning

Feature engineering

Model explainability

Production deployment

Job description

Salary

35,000 - 40,000 AED per month tax free

Relocation support

Flights and temporary accommodation included

We’re partnering with an established technology company developing advanced risk and security products for financial institutions and enterprise customers.

They’re looking for a Senior Data Scientist to build and improve machine-learning models that identify suspicious activity, emerging risks and unusual patterns across large-scale digital interactions.

This is a highly technical, research-led role for someone who enjoys solving difficult modelling problems where positive examples are limited, patterns change over time and model decisions need to be accurate and explainable

The Problems You’ll Solve

• Detect rare risk events across millions of legitimate interactions while controlling false positives.
• Identify new and evolving patterns before large labelled datasets are available.
• Build models for risk scoring, fraud prevention and anomaly detection.
• Distinguish legitimate changes in activity patterns from anomalous events.
• Engineer signals from large-scale event, interaction and transactional data.
• Monitor model performance and respond to changing patterns and data drift.
• Develop explainable models that help stakeholders understand why activity has been flagged.
• Improve the reliability and scalability of models used in real-world decision systems.

You’ll use statistical modelling, supervised learning, neural networks, ensemble methods and anomaly-detection techniques to investigate new approaches, test hypotheses and translate effective ideas into production-ready capabilities.

What We’re Looking For

• 5+ years of experience in data science or machine learning, with a strong focus on modelling.
• Experience building models for fraud, risk, security or other rare-event problems.
• Strong knowledge of classification, predictive modelling and structured data.
• Experience working with rare events and highly imbalanced datasets.
• Excellent statistical reasoning, experimental-design and feature-engineering skills.
• Expert-level Python and strong software-engineering fundamentals.
• Experience taking models from research and experimentation through validation and production.
• Understanding of model explainability, monitoring and drift detection.
• Experience with large-scale behavioural, transactional, operational or event-based datasets.
• Experience working with dynamic, high-volume datasets is advantageous.

Why Abu Dhabi?

Alongside the role itself, you’ll have the opportunity to relocate to Abu Dhabi, with tax-free income, year-round sunshine and a high standard of living, plus relocation support to make the move easier. Ranked as the second safest country in the world, it is an ideal location for individuals and families seeking long-term stability and security.