Location
London

Hours
Full Time Internship - 4 months starting March 2027

About the Role
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities by fostering an inclusive environment where everyone feels welcome to be themselves, exchange ideas, and innovate. Moody’s is transforming how the world sees risk by advancing AI to move from insight to action—enabling intelligence that understands complexity and responds to it. We decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence.

As an Analytics and Modeling Intern within our Coastal Flood Risk team, you will support the development and evaluation of machine learning and surrogate models to improve the efficiency and accuracy of coastal flood risk modelling. You will characterize key coastal flooding dynamics such as storm surge, waves, and overland inundation to identify relevant predictors and physical processes. You will enhance existing machine learning models, explore advanced methods like mSWE-GNN, compare models with alternative surrogate frameworks including Graph Neural Operators, and evaluate model performance to reduce computational costs while maintaining accuracy.

Our Model Development team combines numerical, statistical, and data-driven approaches to assess the financial impact of natural hazards including tropical storms, coastal floods, and tsunamis. Joining this team offers the opportunity to work on cutting-edge modelling of coastal and offshore perils including storm surge, offshore and nearshore waves, wave setup, and overland inundation.

If you are excited about this opportunity but do not meet every single requirement, we encourage you to apply. We value candidates who invest in relationships, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Applications are accepted from 30 October through 13 November, and early applications are encouraged to ensure full consideration.

Experience
- Working with high-performance computing clusters in a Linux environment
- Using version control software such as Git
- Strong programming skills in scientific and analytical languages such as Python and C++
- Experience with numerical models for ocean or wave modelling, or statistical modelling approaches
- Handling and analysing large datasets
- Familiarity with state-of-the-art machine learning methods such as Graph Neural Networks (GNNs) and Fourier Neural Operators (FNOs)
- Familiarity with model performance evaluation and model inter-comparison methods
- Strong analytical skills with the ability to interpret results and communicate insights effectively
- 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
- Awareness of AI risk management and commitment to responsible and ethical AI use

About you
You are a motivated individual currently pursuing a Master’s degree or PhD in Coastal Ocean Modelling, Machine Learning, or a related field. You have a passion for scientific computing and applying AI to real-world problems. You are eager to learn, collaborate, and contribute to innovative risk modelling solutions in a multidisciplinary team environment.

Qualifications
Currently pursuing a Master’s degree or PhD in Coastal Ocean Modelling, Machine Learning, or a related field.
Ability to complete a 4-month internship starting March 2027.