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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

12Open Positions

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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

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
  • French

Nice to Haves

  • Previous experience in corporate finance or debt markets is preferred but not required
▶Apply Now

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