Data Science Intern

Data Science Intern

Job Type: Internship/On-site

Experience Required: Not specified

Languages Required: English

Work Location: IT Solutions Worldwide BV Mandenmakerstraat 100C, 3194 DG Hoogvliet

Rotterdam, Netherlands, Netherlands

Work Authorization: Must be authorized to work in Netherlands

About Us

IT Solutions Worldwide is a pioneering force in global technology solutions, committed to

transforming industries through innovative, data-driven strategies. We cultivate a dynamic

environment where growth, continuous learning, and groundbreaking ideas converge to

deliver tangible global impact. Our culture thrives on curiosity, collaboration, and a relentless

pursuit of excellence, empowering our teams to build the future of IT.

Position Overview

We are seeking a highly motivated Data Science Intern passionate about leveraging data to

generate actionable business insights and drive innovation. This internship offers a unique

opportunity to gain hands-on experience by working with real-world datasets, developing

predictive models, and creating impactful data visualizations alongside our experienced data

scientists.

Key Responsibilities

Data Analysis: Conduct comprehensive data analysis to uncover trends, patterns, and insights

from diverse datasets, directly supporting strategic decision-making.

Model Development: Assist in the design, development, and implementation of machine

learning models and predictive algorithms to solve complex business challenges.

Visualization & Reporting: Create compelling data visualizations and reports that effectively

communicate complex analytical findings to both technical and non-technical stakeholders.

Collaboration & Support: Work closely with the Data team to validate data integrity,

document processes, and contribute to the ongoing improvement of data science

methodologies.

Skills & Requirements

Experience: Prior academic coursework, personal projects, or relevant experience

demonstrating a strong interest and foundational understanding of data analysis, machine

learning, or statistical modeling.

Education: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer

Science, Statistics, Mathematics, or a closely related quantitative field.

Technical Skills: Proficiency in programming languages such as Python or R, experience

with data manipulation libraries (e.g., Pandas), and familiarity with SQL. Knowledge of data

visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) and machine learning

frameworks is highly desirable.

Soft Skills: Possesses a strong analytical mindset, excellent problem-solving abilities, and

effective communication skills. Eager to learn, proactive, and capable of working

autonomously as well as collaboratively within a team.

What We Offer

Learning & Support: Direct mentorship from seasoned data scientists, a structured learning

experience, and significant exposure to real-world data science challenges.

Flexibility & Team Exposure: An on-site role within a collaborative and supportive Data

department, fostering integration and cross-functional team engagement.

Growth & Career Development: Opportunities for hands-on experience with cutting-edge

technologies, coaching to enhance professional skills, and a pathway to contribute to

meaningful projects that shape future career opportunities.