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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

3Open Positions

Auto-load
  • Data Analytics Intern

    C-Cube International
    Delft, Netherlands
    Found 3 weeks ago
  • Praktikum Forensic Investigation & Prevention

    Forvis Mazars in Germany
    Köln, Germany
    Found 4 weeks ago
  • Praktikanten/Werkstudenten Business Risk & Forensic Services (m/w/d)

    Grant Thornton Germany
    Hamburg, Germany
    Found 2 months ago
  • Intern, Investigations, Diligence and Compliance

    Kroll
    Madrid, Spain
    Found 2 months ago

Data Analytics Intern

C-Cube International
Found 3 weeks ago
Location
Delft, Netherlands
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
On-site
Salary
Internship allowance
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Pandas
  • NumPy
  • Python
  • SQL
  • PostgreSQL
  • GitHub
  • AWS
  • IoT Core
  • Lambda
  • DynamoDB

Soft Skills

  • curious
  • hands-on problem solver
  • flexible
  • team player

Job Description

Finalize data processing algorithms for coating quality measurements and prepare them for open-source release on GitHub. Organize and structure data into a comprehensive database ready for machine learning and AI applications. Support data flow AWS (IoT core, Lambda) and data migration from AWS (Dynamo DB) to PostgreSQL to improve our cloud infrastructure. Collaborate with our R&D team to ensure data accuracy, consistency, and readiness for analytics and dashboard applications.

Requirements

  • You are enrolled in a BSc or MSc degree in Data Science, Computer Science or other related field.
  • You are a curious, hands-on problem solver with an interest in machine learning or data-driven systems.
  • You are curious, flexible, and a team player.
  • Comfortable to communicate in English and/or Dutch.
  • You have a solid understanding of Pandas, NumPy for data analysis.
  • You feel comfortable coding in Python, using SQL or PostgreSQL for data handling, and managing your work through GitHub.
  • Familiarity with AWS tools (like IoT Core, Lambda, or DynamoDB) is a plus but not required (we’re happy to help you learn).

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • Dutch

Nice to Haves

  • machine learning
  • data-driven systems
  • AWS tools (like IoT Core, Lambda, or DynamoDB)
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