Data Scientist - Internship

REQ-10113838
27/04/2026
Data Science
Bruxelles, Belgique
ING Bank

Apply now

About the Team

Join ING Belgium’s Tech BE organization, where data, AI, and engineering come together to solve real business and technology problems. You will work in a multidisciplinary environment combining Data Science, AI Engineering, and platform teams, operating in an agile and experimental setup like a startup within a large financial institution.

This internship is designed to be hands-on and learning-focused, while still delivering tangible value.

Internship Projects (Core Input)

You will work mainly on two concrete Data Science projects, aligned with ongoing initiatives in the organization:

Project 1 – Applied Data Science / Analytics

Explore, clean, and analyze structured and semi-structured datasets
Identify patterns, trends, and anomalies relevant to business or technology use cases
Apply statistical methods and basic machine learning techniques
Translate analysis results into clear insights and visualizations

Project 2 – Machine Learning / AI-Oriented Use Case

Build and evaluate predictive or classification models
Experiment with feature engineering and model tuning
Validate model performance using appropriate metrics
Collaborate with engineers to prepare models for integration or experimentation

Both projects emphasize learning-by-doing, data quality, and explainability rather than pure research.

What You’ll Do

As a Data Scientist Intern, you will:

Work end-to-end on real data science problems (from data exploration to insights)
Develop notebooks, scripts, and prototypes in Python
Apply statistics, data analysis, and machine learning techniques
Visualize and communicate findings to both technical and non-technical stakeholders
Collaborate closely with Data Scientists, AI Engineers, and DevOps teams
Document assumptions, methodologies, and results in a clear way

What We’re Looking For

We are looking for a curious and motivated student with a strong interest in data and AI.

Required:

Currently pursuing a Master’s degree in Data Science, AI, Computer Science, Engineering, Statistics, or a related field
Solid foundations in statistics and data analysis
Programming experience in Python
Familiarity with data science libraries (e.g. pandas, numpy, scikit-learn, matplotlib)
Analytical mindset and problem-solving skills

Nice to Have:

Experience with Jupyter notebooks
Basic knowledge of machine learning models
Exposure to SQL or cloud data platforms
Interest in AI, automation, or large-scale systems

What You’ll Gain

Hands-on experience with real-world data science projects
Exposure to AI and data use cases in a banking / technology environment
Mentorship from experienced Data Scientists and Engineers
Experience working in an agile, multidisciplinary team
A strong learning curve and visibility on how data products are built in practice

Practical Information

Internship duration: 3 months
Work mode: Hybrid (Brussels-based)

Apply now

Questions? Just ask
Eylul Metin

Ask by email

Apply now

Chez ING, nous voulons libérer tout le potential de nos collaborateurs, grâce notamment à une culture inclusive où tout le monde peut se développer et avoir un impact sur nos clients et sur la société. Nous veillons à ce que la diversité, l'équité et l'inclusion soient prioritaires. En tant qu'employeur souscrivant au principe de l'égalité des chances, nous ne tolérons aucune forme de discrimination, qu’elle soit liée à l'âge, au sexe, à l'identité sexuelle, à l'origine culturelle, à l'expérience, à la religion, à la race, à l'origine ethnique, au handicap, aux responsabilités familiales, à l'orientation sexuelle, à l'origine sociale ou à tout autre statut protégé par la législation. Si vous avez besoin d'aide lors du processus de candidature et/ou d'entretien, veuillez contacter le (la) recruteur(se) du poste concerné. Nous serons heureux de vous accompagner pour garantir un processus équitable et accessible. Apprenez-en plus sur notre engagement en faveur de la diversité, de l’inclusion et de l’appartenance.