Generative AI & ML Intern — Data Scientist

Moody's; Paris; Sur place; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Moody's in Paris seeks a Data Scientist intern to build signals from structured and unstructured data and generate predictions. You will design explainability tools for non-data scientists and collaborate with technology teams to create robust data ingestion pipelines.

You will communicate results to business stakeholders, train ML models for predictive analytics, and work with ratings and research teams to infuse domain expertise while staying current with ML, NLP, and generative AI trends.

Qualifications

• Pursuing a master’s degree in data science, computer science, statistics, mathematics or related field.
• Strong foundation in machine learning and explainability methods.
• Experience with NLP, generative AI, and AI-assisted development tools.
• Fluent in English with excellent communication skills.

Responsabilités

• Build signals from structured and unstructured data to generate predictions.
• Design explainability tools understandable to non-data scientists.
• Collaborate with technology teams to create data ingestion pipelines.
• Communicate results to business stakeholders and decision makers.
• Select and train ML models for predictive analytics.
• Work with ratings and research teams to incorporate domain expertise.

Connaissances

Machine learning

Explainability

Generative AI

NLP

Python

SQL

Git

Communication

Presentations

Formation

Master's degree in data science / related field

Outils

Python

SQL

Git

Description du poste

Moody's in Paris seeks a Data Scientist intern to build signals from structured and unstructured data and generate predictions. You will design explainability tools for non-data scientists and collaborate with technology teams to create robust data ingestion pipelines.

You will communicate results to business stakeholders, train ML models for predictive analytics, and work with ratings and research teams to infuse domain expertise while staying current with ML, NLP, and generative AI trends.