Senior Data Scientist

Durlston Partners; England; On-site; GBP 120,000 - 300,000; Full time

Benefits offered by this job

30 working days of annual leave

Comprehensive healthcare for employee and family

Business class relocation flights

Job summary

A data-focused firm is seeking a Senior Data Scientist to build and manage machine learning models and data workflows. The position requires strong foundations in statistics, applied machine learning, and experience with large datasets. Responsibilities include designing experiments, analyzing model behavior, and translating models into production components. This role is on-site in Abu Dhabi with generous leave and relocation support.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Statistics

Probability

Applied Machine Learning

Fluent Python

Experience with large datasets

Job description

This range is provided by Durlston Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Durlston Partners

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)

• Commodities, energy, or asset‑level datasets
• Alternative or unstructured data used in modelling or forecasting (e.g. transactions, text, imagery, sensor data)
• 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 [e-mail]

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Research

Industries

• Investment Management, Financial Services, and Capital Markets