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Trainee Data Scientist: AI & ML Foundations

Job in Dubai, Dubai, UAE/Dubai
Listing for: Careers at UAE
Apprenticeship/Internship position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Trainee Data Scientist

We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights. You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications

Responsibilities
  • To develop analytical models for insight generation that improves business decision making.
  • Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
  • Will contribute to data science team discussions, providing insight on current approaches and methods.
  • Follows established MLOps practices in software development.
  • Data science model selection and implementation.
  • Working independently while collaborating well within the team.
  • Have worked autonomously and delivered results on schedule.
Person Specification
  • Recent graduate in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
  • Proficient & interest in machine learning and statistics
  • Software development experience
  • Interest & Proficiency in Python/R/SAS, SQL, Data Visualization (e.g., Tableau or Power BI), deep learning frameworks, Spark
  • Excellent communication skills
  • Proficient with cloud computing in environments such as AWS, Google Cloud, Microsoft Azure
  • Awareness of data science methodologies.
  • Attention to detail
  • Multi-tasking
  • Strong analytical skills
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