Data Scientist - Internship

Descripción del puesto:

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)