Machine Learning Intern jobs in United Arab Emirates
2026 Quantitative Research Intern (Dubai Off Cycle).
Millennium Management
Data Analytics Intern
General Motors
Research Scientist Intern
GenBio AI
Dubai Off-Cycle Quantitative ML Research Intern
Millennium Management
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Mohamed Bin Zayed University Of Artificial Intelligence
Research Engineer Intern
GenBio AI
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Dubai World Trade Centre
2026 Quantitative Research Intern (Dubai Off Cycle)
Millennium Management LLC
Dubai Off-Cycle Quantitative Research Intern
Millennium Management LLC
Quantitative Research Intern
Job summary
A global financial management firm is seeking a 2026 Quantitative Research Intern in Dubai. The role requires a minimum of 6 months commitment and involves developing feature libraries and implementing machine learning algorithms for return predictions. Candidates should have a degree in a STEM field and expertise in Python. Ideal applicants are self-motivated, detail-oriented, and eager to learn in a collaborative environment.
Qualifications
- Minimum 6 months commitment required.
- Experience on a predictive data-science project.
- Ability to work independently in a fast-paced environment.
Responsibilities
- Develop additional feature libraries.
- Implement novel machine learning algorithms for return predictions.
Skills
Education
Minimum 6 month, working in a collaborative team, with a focus on machine learnings.
Work alongside the team members with strong machine learning background to:
- Develop additional feature libraries
- Implement novel machine learning algorithms for return predictions
- Expert in Python
- Proficient in modern data science tools stacks (Jupyter, pandas numpy, sklearn)
- Degree in Mathematics, Computer Science, Statistics, or related STEM field from top ranked University
- Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory
- Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
- Hands-on experience on predictive data-science project
- Experience working with multiple data sets and manipulating data (assessing, cleaning, creating features, etc.)
- Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
- Entrepreneurial mindset
- Curiosity and critical thinker
- Eagerness to learn and grow professionally
- Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.