How do I apply for the Data Analytics Intern position at C-Cube International and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at C-Cube International paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Analytics Intern role?

This position is a not disclosed, structured as a on-site role, with an expected duration of 3 months.

What educational background or degree level is required for the Data Analytics Intern at C-Cube International?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does C-Cube International provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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).

Data & Analytics

Data Analysis

Languages

English
Dutch

Nice to Haves

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

Apply Now

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