Data Team Intern

Dubai, United Arab Emirates

Middlesex University Dubai

Study at Middlesex University Dubai on the pre-university Foundation Programme, Undergraduate or Postgraduate Degree. More than just a quality UK Degree.

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  • Contribute to data science/ Analytics projects by applying advanced predictive modeling techniques to solve complex business problems for our clients.
  • Collaborate closely with cross-functional teams and clients to understand their business objectives, gather relevant data, and design solutions that drive actionable insights.
  • Utilize your deep understanding of statistical methods, machine learning algorithms, and econometric modeling to create models that enhance forecasting accuracy and provide valuable insights.
  • Conduct thorough exploratory data analysis to identify patterns, trends, and correlations within data, translating them into actionable recommendations for clients.
  • Clean, preprocess, and transform data to ensure its quality and suitability for analysis and modeling, while maintaining a high level of data integrity.
  • Interpret and communicate complex findings to both technical and non-technical stakeholders through clear visualizations, reports, and presentations.
  • Selected personnel can be based out of our Abu Dhabi/Dubai office.





Requirements

  • Bachelor’s or master’s in data science, Statistics, Economics, or a related quantitative field.
  • Strong programming skills in languages such as Python, along with expertise in data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow)
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) to create impactful visualizations and reports.
  • Proficiency in deploying data science solutions on production systems, hands-on understanding of ML Ops
  • Proficiency in integrating the data science solutions with application’s front end (Angular JS) and back end (NodeJS)
  • Excellent problem-solving and analytical skills, with the ability to structure and solve complex business challenges using data-driven approaches.

    Key Personal Attributes:
  • A good blend of creative thinking and rigorous analysis in solving business problems
  • Must work well in a team-oriented environment as well as independently. Work with team members to set goals and responsibilities for specific engagements. Foster teamwork and innovation.
  • Ability to work under pressure. Mature, proactive and displays initiative.
  • Possesses excellent analytical, interpersonal, communication and presentation skills. Good oral and written communication skills including documentation of findings and recommendations. Adept at preparing and presenting reports to an audience.
  • Takes personal responsibility and accountability for own work.
  • Sustains a high level of drive, shows enthusiasm and a positive attitude when coping with pressure at work.
  • Seeks out feedback and development opportunities.
  • Analyses problems, identifies core issues, investigates, evaluates and integrates information.
  • Builds the reputation through the quality of work, knowledge and experience.
  • Enjoys travelling and meeting new people. Flexibility to travel, and work in, other locations is essential.


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Tags: Angular Data analysis Data visualization Economics EDA Machine Learning Node.js NumPy Pandas Power BI Predictive modeling Python Scikit-learn Statistics Tableau TensorFlow

Perks/benefits: Career development

Region: Middle East

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