Data Scientist Intern - Digital Finance

PowerToFly; Paris; Sur place; EUR 80 000 - 100 000; Plein temps

Résumé du poste

A leading financial services firm in France seeks a Data Scientist Intern to support the Digital Finance team in developing machine learning solutions. Candidates should be pursuing a master's in data science or a related field with a bachelor's degree in engineering. Responsibilities include designing predictive models and collaborating with various teams to create actionable insights from data. This is a 6-month internship commencing in April 2026, offering a unique opportunity to gain practical experience in data science workflows.

Qualifications

• Currently pursuing a master’s degree or related quantitative field.
• Bachelor’s degree in engineering required.
• Ability to complete a 6-month internship starting April 2026.

Responsabilités

• Contribute to machine learning solutions within the Digital Finance team.
• Design and train predictive analytics models.
• Communicate results to business decision-makers.
• Build solutions to extract signals from various data sources.

Connaissances

Machine learning

Python

SQL

Natural language processing

Communication skills

AI tools

Understanding AI risk management

Formation

Master’s degree in data science or related field

Bachelor’s degree in engineering

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 knowledge of algorithms and principles
• Proven track record of successfully modeling, building, and putting in production machine learning applications
• Deep understanding of the tools explaining machine learning predictions
• Expertise in Python and SQL
• Knowledge of Git and collaboration principles
• Proven experience in natural language processing
• Excellent communication and presentation skills, with the ability to explain complex analytical concepts to people from other fields
• Previous experience in corporate finance or debt markets is preferred but not required
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency
• Proven ability to implement AI‑powered solutions to solve business challenges
• Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• Currently pursuing master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field
• Bachelor’s degree in engineering required - Candidates pursuing a Diplôme d’Ingénieur are also eligible
• Internship should serve as an end‑of‑study placement
• Ability to complete a 6‑month internship starting April 2026

Responsibilities

Within the Digital Finance team, the Data Scientist Intern will contribute to the development of machine learning solutions for high‑profile data science initiatives. The Data Scientist Intern will notably focus on designing and training predictive analytics models, crafting signals from unstructured data and creating high‑value‑added solutions converting quantitative predictions into actionable insights for the business.

The intern will gain exposure to Moody’s data science workflows and collaborate with cross‑functional teams across finance, technology, and research.

• Selecting and training machine learning models for predictive analytics, sometimes with relatively small and unbalanced datasets
• Building solutions predicting activities and extracting signals from multiple data sources
• Designing explainability tools understandable by non‑data scientists
• Collaborating with tech teams to create data ingestion pipelines connected to sources spread across different parts of the organization and delivered in varying formats
• Communicating results to business stakeholders and decision‑makers
• Collaborating with subject matter experts from ratings and research teams to incorporate fundamental expertise into machine learning models
• Staying current with the latest research and technology developments

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.