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Data Scientist Intern

Other-InternNo visa sponsorship
Moody's logo

at Moody's

Other

Posted 4 days ago

No clicks

**Data Scientist Intern** at Moody's in Paris seeks master's student in data science/computer science. Develop predictive models and explainable AI under mentor guidance. Must-have: machine learning, Python, SQL, Git, and English proficiency. Preferred: corporate finance/debt markets experience. Role involves collaboration and clear communication. Internship duration: 6 months, starting April 2027.

Compensation
Not specified

Currency: Not specified

City
Paris
Country
France

Full Job Description

Data Scientist Intern

Paris, France

Apply now
Save job
Posted
09/25/2026
Job reference
14625
Experience level
Early Career
Job category
Students & Early Careers
Line of business
MIS MGMT

At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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 masters 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.


Moodys 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 Moodys 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.

Apply now
Save job

Data Scientist Intern

Compensation

Not specified

City: Paris

Country: France

Moody's logo
Other

4 days ago

No clicks

at Moody's

Other-InternNo visa sponsorship

**Data Scientist Intern** at Moody's in Paris seeks master's student in data science/computer science. Develop predictive models and explainable AI under mentor guidance. Must-have: machine learning, Python, SQL, Git, and English proficiency. Preferred: corporate finance/debt markets experience. Role involves collaboration and clear communication. Internship duration: 6 months, starting April 2027.

Full Job Description

Data Scientist Intern

Paris, France

Apply now
Save job
Posted
09/25/2026
Job reference
14625
Experience level
Early Career
Job category
Students & Early Careers
Line of business
MIS MGMT

At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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 masters 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.


Moodys 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 Moodys 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.

Apply now
Save job