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Trainee Data Scientist - Remote

Posted 17 weeks ago
Data Analysis
Internship
United Arab Emirates

Overview

We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights.

In Short

  • Develop analytical models for insight generation.
  • Experiment with machine learning techniques on projects.
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets.
  • Learn new data science techniques and programming languages.
  • Contribute to data science team discussions.
  • Follow established MLOps practices.
  • Implement data science models.
  • Work independently while collaborating with the team.
  • Deliver results on schedule.

Requirements

  • Recent graduate in relevant fields.
  • Proficient in machine learning and statistics.
  • Software development experience.
  • Interest in Python, R, SQL, and Data Visualization tools.
  • Excellent communication skills.
  • Proficient with cloud computing environments.
  • Awareness of data science methodologies.
  • Attention to detail and multi-tasking abilities.
  • Strong analytical skills.

Benefits

  • Opportunity to work on cutting-edge machine learning applications.
  • Collaborate with experienced AI engineers.
  • Gain hands-on experience with real-world datasets.
  • Continuous learning and professional development.
  • Contribute to impactful projects.
Rackspace logo

Rackspace

Rackspace is a leading provider of cloud solutions, specializing in advanced technical support and management of complex AWS-based environments. The company focuses on delivering high-performance, secure, and scalable cloud architectures while ensuring optimal operational efficiency. With a commitment to customer satisfaction, Rackspace empowers its teams to troubleshoot critical issues, implement automation, and lead innovative projects in cloud migration and modernization. The company values technical expertise, collaboration, and continuous improvement, making it a trusted partner for businesses navigating their cloud journeys.

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