Data Scientist

Posted One Month Ago
Dubai, ARE
In-Office
Junior
Agency • Professional Services • Consulting
The Role
Work with data to engineer features and build machine learning models for fraud detection, recommendations, ranking, and personalization. Design and evaluate experiments, collaborate with ML engineers/backend to productionize models, present findings to stakeholders, and contribute to a data-driven, collaborative environment.
Summary Generated by Built In
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.


Skills Required

  • 0-2 years of experience in Data Science (internships, research projects, and academic work 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
  • Exposure to Spark, Databricks, recommendation systems, fraud detection, or SaaS/high-scale product environments
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The Company

What We Do

TalentOne is a UAE-based recruitment and staffing partner and a PureHealth asset. It connects skilled professionals with businesses and provides customized workforce solutions, including recruiting, payroll and administrative support, medical licensing, PRO services, and call-center/customer-service staffing. The company uses technology, AI, data analysis, and industry knowledge to make hiring efficient while helping employers build teams and candidates advance their careers.

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