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Est. Monthly
Estimated €5,415 - €7,893
Posted May 1, 2026 · 116 days agoLast seen August 25, 2026Est. expiry June 5, 2026

Data Scientist

Quant Data Scientist (LLMs) - UAE Relocation
Remote - Global
Remote · Software engineering
Full-time · Mid-Level
English
No degree required
3 years experience
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("In Remote - Global: Data Scientist"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€4,757–€17,258). The listed pay band (€451–€658) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,180/per month€5,775/per month€8,713/per month
In Remote - Global: Data Scientist€4,757/per month€6,397/per month€17,258/per month
Pay in our data — not quoted in ad (Mid-Level)€451/per month€555/per month€658/per month
About the role

We are seeking a Data Scientist to join a high-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role is dedicated to leveraging data and language models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with a solid understanding of financial markets and a passion for innovative data applications. Key Responsibilities include developing automated data pipelines, overseeing quality control for financial content generated by large language models, collaborating with quant researchers and engineers, conducting analysis, maintaining data infrastructure, providing domain expertise, developing quality metrics, and participating in development cycles. Required qualifications include a degree in a quantitative discipline, 3+ years of experience, proficiency in Python and SQL, experience with machine learning frameworks, familiarity with financial data sources, and excellent problem-solving skills. Preferred qualifications include experience with NLP methodologies, understanding of macroeconomics, and financial markets.

Job Details

Education Level

No degree required
Seen 5 hours agoPartial Schema
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Durlston Partners · 105 open roles
Top locations: Remote - Global · 97 · Remote · 4 · Europe · 3+1 other locations
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