Join Crédit Agricole as a Data Scientist Intern to support cutting-edge analytics initiatives in the banking sector. This role offers hands-on experience with advanced data tools and real-world financial applications in a collaborative team environment.

Crédit Agricole, one of France's leading banking groups, is seeking a motivated Data Scientist Intern to join our innovative analytics team in Chessy. As part of this internship, you will assist in developing data models to optimize financial operations, detect fraud patterns, and personalize customer experiences using machine learning techniques.

Your responsibilities will include collecting and preprocessing large datasets from various banking sources, building predictive models to support decision-making, and visualizing insights for stakeholders. You will collaborate with cross-functional teams, including IT specialists and business analysts, to translate complex data into actionable strategies.

This position is ideal for students passionate about applying data science to real-world challenges in finance. With Crédit Agricole's commitment to digital transformation, you will gain invaluable experience in a supportive environment that fosters growth and innovation. The internship duration is typically 6 months, with potential for extension based on performance.

• Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field
• Proficiency in Python, R, or SQL for data manipulation and analysis
• Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Strong analytical skills and experience with data visualization tools like Tableau or Matplotlib
• Basic understanding of financial concepts and data privacy regulations (e.g., GDPR)
• Excellent problem-solving abilities and eagerness to learn
• French language proficiency is a plus; English required for international teams

• Competitive monthly stipend aligned with French internship standards
• Opportunities for mentorship from senior data scientists and exposure to financial industry projects
• Access to Crédit Agricole's modern tools, datasets, and professional development workshops
• Flexible working hours and potential for remote collaboration options
• Networking events and inclusion in team-building activities
• Contribution to impactful projects that enhance banking services through AI and analytics