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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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    iProspect
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  • STAGE VISUAL MERCHANDISER

    mango-designco
    Rome, Italy
    Found 1 month ago
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    cc
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    Found 1 month ago
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    Found 2 months ago
  • STAGE VISUAL MERCHANDISER (FT - Milano, Galleria del Corso)

    mango-designco
    Milano, Italy
    Found 2 months ago

Junior Data Scientist - intern

iProspect
Found 1 month ago
Location
Milan, Italy
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • R
  • Matlab
  • Google Cloud Platform
  • BigQuery

Soft Skills

  • Teamwork attitude
  • willingness to learn
  • Creativity
  • curiosity
  • proactive mindset
  • Flexibility
  • ability to work in a dynamic environment

Job Description

Support the understanding and analysis of business problems, contributing to their resolution through analytical and statistical methods. Assist in designing and implementing complex analyses: from reviewing business performance/lead/visit metrics to preparing key insights for clients. Participate in managing and analyzing large datasets using various tools and architectures (Google Cloud Platform, BigQuery, Python, R). Support the team in developing and maintaining analytical models. Apply innovative approaches to address evolving client needs and solve data-related business challenges. Collaborate with colleagues from other departments to identify data-driven issues and help generate actionable insights for clients.

Requirements

  • Bachelor or Master’s degree in Mathematics, Statistics, Data Science, or related fields (or currently completing one).
  • Strong interest and passion for data analysis and statistical modeling.
  • Basic knowledge of statistical modeling principles.
  • Familiarity with SQL, Python, R, or Matlab.
  • Good command of written and spoken English.
  • Teamwork attitude and willingness to learn.
  • Creativity, curiosity, and a proactive mindset.
  • Flexibility and ability to work in a dynamic environment.

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English
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