AI & ML Data Science Intern — Predictive Analytics

EF; Paris; Sur place; EUR 13 000 - 20 000; Temps partiel

Résumé du poste

Moody's is seeking a Data Scientist intern in Paris for a 6-month program starting April 2027. You will develop signals from data, build predictive models, and craft tools to explain results to business partners.

You will collaborate with AI, analytics and ratings teams, translating quantitative insights into actionable business outcomes while staying abreast of evolving ML and generative AI trends.

Qualifications

• Pursuing a master's degree in quantitative field with a focus on data science, CS, statistics or math.
• Strong Python and SQL skills with ability to explain ML concepts to non-technical stakeholders.
• Experience with ML, NLP and AI explainability is preferred.

Responsabilités

• Build signals from structured and unstructured data to generate predictions.
• Design explainability tools understandable to non-data scientists.
• Collaborate with tech teams to ingest data from multiple sources.
• 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.
• Stay current with data science and generative AI developments.

Connaissances

Machine learning basics

Explainability methods

Generative AI

NLP

Python

SQL

Git/version control

Communication skills

Business stakeholder communication

English fluency

Formation

Master's degree in data science or related field

Expected graduation July–December 2027

Availability for 6-month internship starting April 2027

Outils

Git

Version control

Description du poste

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies

• Experience in machine learning, with a strong understanding of algorithms and their underlying principles
• Strong understanding of methods and tools for explaining machine learning predictions
• Hands-on experience with generative AI and natural language processing
• Ability to use AI-assisted development tools to support coding, testing, and debugging while critically reviewing outputs
• Proficiency in Python and SQL
• Knowledge of Git, version control, and collaborative development practices
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to non-technical audiences
• Previous experience in corporate finance or debt markets is preferred
• Fluency in English
  
  

Education

• Currently pursuing a master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field
• Expected to graduate between July and December 2027
• Availability to work for a 6 months internship starting in April 2027 (flexible)
  
  

Role And Responsibilities

• Build solutions that extract relevant signals from structured and unstructured data and generate predictions
• Design explainability tools that are understandable to non-data scientists
• Collaborate with technology teams to create data ingestion pipelines that integrate information from multiple sources and formats
• Communicate results to business stakeholders and decision-makers
• Select and train machine learning models for predictive analytics
• Collaborate with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning and generative AI solutions
• Stay current with developments in data science, machine learning, and generative AI
  
  

About The Team

Within the AI & Analytics team, the Data Scientist will contribute to the development of machine learning and generative AI solutions for high-impact initiatives. The Data Scientist will focus on designing and training predictive analytics models, extracting signals from unstructured data, and creating high-value solutions that translate quantitative predictions into actionable insights for the business.

A successful candidate will demonstrate strong knowledge of the key stages of machine learning and generative AI projects, including model development, evaluation, and MLOps. The candidate should also be innovative, results-oriented, and autonomous, with the ability to deliver project components under tight deadlines when required.

The data science team works closely with the technology, rating, and research teams, as well as other departments. The candidate should therefore be able to collaborate across multiple teams and communicate clearly and effectively with business representatives unfamiliar with data science.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.