Explore data, engineer features, and build machine learning models for real business challenges. Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation. Collaborate closely with ML engineers and backend developers to bring successful models into production.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the Role
- Explore data, engineer features, and build machine learning models for real business challenges.
- Design, run, and evaluate experiments to support products such as fraud detection, recommendation engines, ranking, and personalisation.
- Collaborate closely with ML engineers and backend developers to bring successful models into production.
- Present insights and findings to both technical and non-technical stakeholders.
- Contribute to a collaborative, data-driven environment focused on continuous learning and innovation.
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- 0–2 years of experience in Data Science (internships, research projects, and academic work are welcomed).
- Strong Python skills with experience using pandas, NumPy, and scikit-learn.
- Solid understanding of machine learning, statistics, and experimental design.
- Good SQL skills.
- Strong analytical thinking and communication skills.
- Nice to have: Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments.
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- Competitive salary with annual performance bonus.
- Comprehensive medical insurance.
- Annual flight allowance.
- Visa sponsorship.
- Annual leave entitlement.
- Learning and conference budget to support your professional growth.
- Hybrid working model with flexibility.
- Opportunity to work alongside experienced engineers and data scientists on cutting-edge AI/ML products with a distributed team across Dubai and Europe.
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