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Rackspace Technology

Trainee Data Scientist

Rackspace Technology
United Arab Emirates · Full-time · Not Applicable

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


Key Skills

Ranked by relevance

machine learning cloud ai data visualization deep learning power bi tableau mlops sql aws
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Posted
Mar 14, 2025
Type
Full-time
Level
Not Applicable
Location
Dubai

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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