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Trainee Data Scientist

Unlock employer Dubai, United Arab Emirates Posted: 19 Mar 2025

Financial

  • Estimate: $20k - $30k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Entry Level

Position

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.

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Responsibilities:

  • Develop analytical models for insight generation that improve business decision making.
  • Experiment with and implement 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.
  • Learn new data science techniques/programming languages and explore their viability on current projects.
  • Contribute to data science team discussions, providing insight on current approaches and methods.
  • Follow established MLOps practices in software development.
  • Select and implement data science models.
  • Work independently while collaborating effectively within the team.
  • Deliver results autonomously and on schedule.

Person Specification:

  • Recent graduate in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics, or equivalent formal training.
  • Proficient & interested 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, and Spark.
  • Excellent communication skills.
  • Proficient with cloud computing in environments such as AWS, Google Cloud, and Microsoft Azure.
  • Awareness of data science methodologies.
  • Attention to detail.
  • Multi-tasking abilities.
  • Strong analytical skills.
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