Data Scientist

TalentOne; Dubai; Hybrid; AED 90,000 - 130,000; Part time

Benefits offered by this job

Comprehensive medical insurance

Annual flight allowance

Visa sponsorship

Annual leave entitlement

Learning and conference budget

Hybrid working model

Job summary

TalentOne invites data enthusiasts to join as a Data Science role in Dubai. You will explore data, engineer features, and build ML models addressing real business challenges, including fraud detection and recommendations.

You will design experiments, collaborate with ML engineers and backend teams, and present insights to varied stakeholders. The role supports continuous learning, offers visa sponsorship, and a hybrid working model across Dubai and Europe.

Qualifications

• 0-2 years of experience in Data Science (internships, research projects, and academic work are welcomed).
• Strong Python skills with pandas, NumPy, and scikit-learn.
• Solid understanding of machine learning, statistics, and experimental design.
• Good SQL skills.
• Strong analytical thinking and communication skills.

Responsibilities

• 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.

Skills

Python

pandas

NumPy

scikit-learn

SQL

Analytical thinking

Communication skills

Spark

Databricks

Recommendation systems

Fraud detection

Job description

• 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.

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.

Requirements

• 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.

Benefits

• 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.