At a Glance
- Tasks: Build and own ML models on large, messy datasets while designing impactful experiments.
- Company: Join a leading investment management firm in Abu Dhabi with a focus on data innovation.
- Benefits: Competitive salary, education allowance, 30 days leave, and comprehensive healthcare for you and your family.
- Other info: Enjoy a sustainable work-life balance with remote options during summer and generous public holidays.
- Why this job: Make a real impact by working on cutting-edge data projects in a supportive environment.
- Qualifications: Strong stats background, Python skills, and experience with large datasets required.
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.
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)
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
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Research
Industries: Investment Management, Financial Services, and Capital Markets
Senior Data Scientist employer: DURLSTON PARTNERS
Durlston Partners is an exceptional employer, offering a dynamic work environment in Abu Dhabi that fosters innovation and collaboration. With a strong focus on employee well-being, the company provides comprehensive healthcare, generous annual leave, and education allowances for dependents, ensuring a supportive atmosphere for both personal and professional growth. The role of Senior Data Scientist not only allows you to work on cutting-edge projects but also offers competitive compensation and relocation support, making it an attractive opportunity for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large datasets and machine learning models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data challenges. Be ready to discuss how you would tackle real-world problems they face, especially in the context of unstructured data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with large datasets, machine learning models, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Summary:When writing your summary, focus on your key achievements and how they relate to the job description. Keep it concise but impactful – we love seeing what makes you stand out from the crowd!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any other relevant tools or technologies. We’re looking for someone who can write production-quality code, so be sure to highlight your hands-on experience with data workflows and modelling.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Good luck!
How to prepare for a job interview at DURLSTON PARTNERS
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you’ve worked with. Be ready to discuss your experience with large, messy datasets and how you've tackled challenges in data cleaning and preprocessing. This will show your potential employer that you have the hands-on experience they’re looking for.
✨Showcase Your ML Models
Prepare to talk about specific machine learning models you’ve built and owned. Highlight the end-to-end process, from design to monitoring. If possible, bring examples of your work or results to demonstrate your impact through shipped models or production systems.
✨Brush Up on Statistics and Probability
Since a strong foundation in statistics is crucial for this role, make sure you can confidently discuss statistical methods and their applications. Be prepared to answer questions that test your understanding of probability and how it relates to model performance.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data function, the types of projects you might work on, and how they measure success. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
