How do I apply for the Data Scientist Intern - Digital Finance position at Moody's Corporation and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Data Scientist Intern - Digital Finance role?

This position is a full-time, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Data Scientist Intern - Digital Finance at Moody's Corporation?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, Bachelor.

Does Moody's Corporation provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Scientist Intern - Digital Finance

Moody's Corporation

Found 3 weeks ago

Location

Paris, France

Duration (Months)

6 Months

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

3 weeks ago

Education

Master
Bachelor

Skills & Qualifications

Technical Skills

machine learning
algorithms
principles
modeling
building
putting in production machine learning applications
explaining machine learning predictions
Python
SQL
Git
natural language processing
artificial intelligence concepts
AI tools
AI-powered solutions
predictive analytics
data ingestion pipelines

Soft Skills

communication
presentation skills
explain complex analytical concepts to people from other fields
collaboration principles
collaboration
Communicating results to business stakeholders and decision-makers
Staying current with the latest research and technology developments

Job Description

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.

Requirements

machine learning
algorithms
principles
modeling
building
putting in production machine learning applications
explaining machine learning predictions
Python
SQL
Git
collaboration principles
natural language processing
communication
presentation skills
explain complex analytical concepts to people from other fields
artificial intelligence concepts
hands-on experience using AI tools to streamline workflows and enhance operational efficiency
implement AI-powered solutions to solve business challenges
growing awareness of AI risk management
commitment to responsible and ethical AI use
master’s degree in data science, computer science, statistics, mathematics, or a related quantitative field
Bachelor’s degree in engineering
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
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

AI & Machine Learning

Applied Machine Learning

Languages

English
French

Nice to Haves

Previous experience in corporate finance or debt markets is preferred but not required

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