at ING Bank
OtherPosted 15 days ago
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**Data Scientist - Internship: Hands-on Role with Real-World Data Science Projects** Join ING Belgium's Tech BE org, where data, AI, and engineering intersect. As a Data Scientist Intern, you'll work on two core projects: applied data science/analytics and machine learning/AI use case. Responsibilities include data exploration, model building, and collaborating with cross-functional teams. Requires a Master's candidate in a relevant field, solid Python/data science libraries knowledge, and analytical mindset. Internship is 3 months, hybrid-based in Brussels, Belgium. Gain tangible experience and mentorship in a dynamic, agile team.
- Compensation
- Not specified
- City
- Brussels
- Country
- Belgium
Currency: Not specified
Full Job Description
About the Team
Join ING Belgiums 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 Youll 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 Were Looking For
We are looking for a curious and motivated student with a strong interest in data and AI.
Required:
- Currently pursuing a Masters 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 Youll 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)
