Data Scientist Intern: AI, ML & Risk Analytics

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

Résumé du poste

Moody's is seeking a Data Scientist intern to join the AI & Analytics team in Paris. You will build predictive models from diverse data sources, develop explainability tools, and collaborate across technology, ratings and research functions.

The role emphasizes autonomy, results-orientation, and delivering components under tight deadlines while learning cutting-edge ML and generative AI techniques. The ideal candidate is pursuing a master’s degree in data science or a related field, with

Qualifications

• Pursuing a master's degree in a quantitative field with expected 2027 graduation.
• Strong ML background and ability to explain predictions.
• Experience with Python, SQL, and AI tools.
• Excellent communication and presentation skills.
• Fluency in English; internship starting 2027.

Responsabilités

• Build signals from structured and unstructured data to generate predictions.
• Design explainability tools for non-data scientists.
• Collaborate with tech teams to build data ingestion pipelines.
• Communicate results to business stakeholders.
• Select and train ML models for predictive analytics.
• Coordinate with ratings and research teams to incorporate expertise.

Connaissances

ML experience

Explainability tools

Generative AI / NLP

AI-assisted development tools

Python

SQL

Git / version control

Communication skills

Finance background

English fluency

Formation

Master's degree in data science / CS / statistics / math or related field

Expected to graduate July–December 2027

6-month internship starting April 2027

Outils

Git

Version control

Description du poste

Moody's is seeking a Data Scientist intern to join the AI & Analytics team in Paris. You will build predictive models from diverse data sources, develop explainability tools, and collaborate across technology, ratings and research functions.

The role emphasizes autonomy, results-orientation, and delivering components under tight deadlines while learning cutting-edge ML and generative AI techniques. The ideal candidate is pursuing a master’s degree in data science or a related field, with