Data Scientist - Internship

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

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)