Remote Data Science Intern Mentored Hands-On Analytics

IT Solutions Worldwide BV; Rotterdam; Hybride; EUR 6 700 - 13 000; Plein temps

Avantages offerts par ce poste

Mentorship from data scientists

Structured learning experience

Exposure to real‑world data challenges

On-site role

Learning budget

Résumé du poste

IT Solutions Worldwide BV in Rotterdam seeks a Data Science Intern to gain hands-on experience with real-world datasets, develop predictive models, and create impactful data visualizations alongside our experienced data scientists. You will analyze data, build models, and present insights to stakeholders, while collaborating with the Data team to ensure data integrity and methodological rigor.

This on-site role offers mentorship from seasoned data scientists, a structured learning path, and

Qualifications

• Currently pursuing a Bachelor's or Master's in a quantitative field.
• Experience with data analysis, machine learning, or statistics.
• Proficiency in Python or R and SQL; knowledge of Pandas.

Responsabilités

• Data Analysis: Conduct comprehensive data analysis to uncover trends, patterns, and insights.
• Model Development: Assist in design and development of ML models and predictive algorithms.
• Visualization & Reporting: Create data visualizations and reports communicating findings to stakeholders.
• Collaboration & Support: Work with Data team to validate data integrity and document processes.

Connaissances

Analytical mindset

Problem-solving

Communication skills

Formation

Bachelor's or Master's in Data Science or related field

Outils

Python

R

Pandas

SQL

Matplotlib

Seaborn

Tableau

Power BI

Description du poste

IT Solutions Worldwide BV in Rotterdam seeks a Data Science Intern to gain hands-on experience with real-world datasets, develop predictive models, and create impactful data visualizations alongside our experienced data scientists. You will analyze data, build models, and present insights to stakeholders, while collaborating with the Data team to ensure data integrity and methodological rigor.

This on-site role offers mentorship from seasoned data scientists, a structured learning path, and