Senior Data Scientist

Senior Data Scientist

Location: Abu Dhabi, UAE (relocation support provided)

Compensation: £120,000–£300,000 total compensation (fully guaranteed, all-in)

The Role

We are building a centralised data function supporting quantitative research and development teams. The role focuses on large-scale unstructured and alternative data and applies statistical and machine learning methods. Much of the work is greenfield, with responsibility for defining data, modelling, and experimentation standards from first principles.

What You'll Do

• Build and own ML models and data workflows on large, messy datasets
• Design experiments to assess data structure, signal quality, and robustness
• Develop forecasting, modelling, or optimisation systems that inform decisions
• Analyse model behaviour, regime shifts, drift, and failure modes
• Design repeatable data and experimentation systems
• Translate modelling work into production-grade components
• Own models end-to-end, including monitoring and iteration

Who Thrives Here

• Strong foundations in statistics, probability, and applied machine learning
• Fluent Python with experience writing production-quality, testable code
• Hands-on experience with large, noisy datasets
• Demonstrated impact through shipped models, production systems, or original work

Relevant Experience (one or more)

• Market, macroeconomic, or financial time-series data
• Commodities, energy, or asset-level datasets
• Equities-related data (earnings, filings, corporate disclosures)
• Alternative or unstructured data used in modelling or forecasting (e.g. transactions, text, imagery, sensor data)
• Forecasting, scenario analysis, optimisation, or risk-aware modelling

Compensation & Benefits

• Fully guaranteed, competitive compensation
• Education allowance for dependent children
• 30 working days of annual leave
• Comprehensive healthcare for employee and family
• Business class relocation flights
• Joining and departure allowances

The role is on-site in Abu Dhabi. Short-term remote work during the peak summer months is supported, along with generous leave and public holidays. The working model is designed for long-term sustainability and family life.

How to Apply

Send your CV and a brief summary of relevant experience to

dana@durlstonpartners.com