General Information
Ref #
bgl transfo 1111111111115801
Country
Luxembourg
Region
Luxembourg
City
Luxembourg
Contract type
Internship BE/LUX
Professional Family
F17 - PROJECT & TRANSFORMATION MANAGEMENT
Description
BGL BNP Paribas is one of the largest banks in Luxembourg and part of the BNP Paribas Group.
It offers an especially wide range of financial products and bancassurance solutions to individuals, professionals, businesses and private banking clients.
In 2024, BGL BNP Paribas was named “Best Bank in Luxembourg” by Euromoney and in 2025, for the 10th consecutive year, was awarded the “Top Employer Luxembourg” certification, in recognition of the excellent working conditions offered to its employees.
Internship Offer - Data Science Intern (H/F)
CONTEXT AND CHALLENGES
We are excited to offer a unique internship opportunity at BGL BNP Paribas DataLab for a motivated and talented individual passionate about Data Science and Artificial Intelligence. As a Data Science Intern, you will contribute to innovative projects in the financial sector, working within the dynamic and forward-thinking environment of the DataLab in Luxembourg. This internship will allow you to apply your technical skills to real-world challenges while gaining exposure to advanced AI concepts and tools.
WHAT’S YOUR DAY-TO-DAY MISSION?
- Participate in data analysis and modeling tasks to support financial use cases.
- Contribute to the development and validation of AI-driven solutions.
- Assist in documentation, data labeling, and prompt engineering for various projects.
- Collaborate on Python-based coding tasks and data workflows.
- Support the team in exploring and applying machine learning techniques to enhance business processes.
MISSIONS ARE IMPORTANT, BUT SO ARE THE TEAM AND THE WORK ENVIRONMENT!
Your working environment
- Location: Luxembourg
- Duration: 3 months
- Team composition: 10 data scientists and Machine learning Engineers
- Interactions: You will collaborate with team members and may interact with experts from other departments, including technology and business units
Benefits of this position?
- Hands-on experience with state-of-the-art AI and machine learning frameworks.
- Exposure to practical applications of data science in the financial industry.
- Opportunities to learn and apply advanced techniques in AI and data analysis.
- Collaboration with experienced software engineers and AI specialists.
WORKING WITHIN BNP PARIBAS MEANS:
- Being part of a solid and committed financial group, where everyone has a role to play in making our society more sustainable and can give meaning to their daily professional lives:
Our commitments and actions for clients and society | BNP Paribas
- Taking advantage of a wide range of training opportunities to continually develop your skills and prepare you for the professions of tomorrow, in a constantly changing world
- Broadening your horizons and exploring different jobs throughout your professional life, thanks to the diversity of our activities and our dynamic career management
- Preserving your work-life balance thanks to our flexible working hours, two satellite offices near the Belgian and French borders, and remote work options
- Thriving daily in an environment where it’s great to live and work. Listening to the voices of our employees, we are committed to providing a high-quality work environment based on respect, diversity, inclusion, and a spirit of camaraderie.
ARE YOU OUR FUTURE INTERN ?
Professional experience and/or degree
- Required experience: Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
Behavioural skills
- Collaboration and teamwork
- Organizational skills
- Communication skills
- Creativity and innovation
- Problem-solving skills
Transversal skills
- Analytical thinking
Technical skills
- Essential:
- Basic understanding of AI/ML concepts and natural language processing.
Language skills
Proficiency in English and French
Diversity, equity and inclusion are key values for the well-being and performance of teams.
We want to welcome and retain all our employees without distinction: this is how, together, we will build the innovative, responsible and sustainable finance of tomorrow.