Generative AI Intern: Risk Analytics & Prototyping

Moody

Greater London

Presencial

GBP 22.000 - 36.000

Jornada completa

Hace 11 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Moody’s is offering a 10-week Summer Intern role in Applied AI to work on generative AI projects within the Banking Business Unit. You will design AI prototypes, analyze banking data, and explore cutting-edge tools under mentorship.

We seek students pursuing science, engineering or data-focused degrees, with strong Python skills and a passion for responsible AI. Full-time during June 14–August 20, 2027, in London, with practical project work.

Formación

  • Solid understanding of ML, NLP and data engineering concepts.
  • Hands-on experience with Generative AI platforms and willingness to learn.
  • Proficiency with Python or similar languages.
  • Ability to communicate complex ideas to non-technical audiences.

Responsabilidades

  • Designing and prototyping AI solutions for financial risk assessment.
  • Analyzing data and engineering features from banking datasets.
  • Exploring new AI tools, frameworks and academic methods.
  • Contributing to AI projects addressing real business challenges.
  • Translating business needs into AI-driven solutions with stakeholders.
  • Sharing insights clearly with technical and non-technical audiences.

Conocimientos

ML & NLP concepts
Generative AI experience
Cloud & ML environments
Python programming
Data analysis & problem solving
Independent & team work
Technical communication
AI risk & ethics awareness

Educación

Pursuing STEM/related degree

Descripción del empleo

Moody’s is offering a 10-week Summer Intern role in Applied AI to work on generative AI projects within the Banking Business Unit. You will design AI prototypes, analyze banking data, and explore cutting-edge tools under mentorship.

We seek students pursuing science, engineering or data-focused degrees, with strong Python skills and a passion for responsible AI. Full-time during June 14–August 20, 2027, in London, with practical project work.

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