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Analytics and Modeling Intern - Coastal Flood

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Work setting
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Employment
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Before you apply

New graduates
For current studentsCurrently pursuing a Master’s degree or PhD in Coastal Ocean Modelling, Machine Learning, or a related field

What you’ll work on

Full posting
  • Support development and evaluation of machine learning and surrogate flood models

  • Characterize storm surge, wave and overland inundation dynamics to pick predictors

  • Enhance existing machine learning models for coastal risk processes

  • Explore methods such as mSWE-GNN for extreme coastal flooding dynamics

  • Compare machine learning models with alternative surrogate frameworks

From the employer’s posting
Support the development and evaluation of machine learning and surrogate models to improve the efficiency and accuracy of coastal flood risk modelling.
Characterize key coastal flooding dynamics, including storm surge, waves and overland inundation, to identify the most relevant predictors and physical processes to capture
Enhance existing machine learning models for processes relevant to coastal risk
Explore machine learning methods (i.e. mSWE-GNN) to improve the representation of variability and extreme coastal flooding dynamics
Compare machine learning models with alternative surrogate modelling frameworks, including Graph Neural Operators

What you’ll bring

All qualifications

Core experience

  • Ability to complete a 4-month internship starting March 2027
Qualification wording
Ability to complete a 4-month internship starting March 2027
Education & alternatives
Education - 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
Apply at Moody's

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202616 days ago
Recorded sightings
21
Last seen by us
Nov 13, 2026

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How this job compares

Time since we first saw it

Day 16

Similar jobs usually come down between day 8 and day 60.

At Moody's, jobs usually come down by about day 15.

From 11,783 similar postings that came down, and 78 of Moody's’s. Coming down is not always a hire.

Moody's is hiring

54 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
  • 11% of open jobs were reposted
Hiring record

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  • Python
Where the posting names them
- Experience working with high-performance computing clusters in a Linux environment and 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

Your next step

Complete your application on careers.moodys.com. The employer’s form will show what is required.

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About Moody's

People
About 5,300 in 2025, up 10% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MCO.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling 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. 

Applications for this position will be accepted from 30 October through 13 November. We encourage interested candidates to apply early to ensure full consideration. 


Skills and Competencies

  • Experience working with high-performance computing clusters in a Linux environment and 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
  • Experience 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. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

  • 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

Responsibilities

Support the development and evaluation of machine learning and surrogate models to improve the efficiency and accuracy of coastal flood risk modelling.

  • Characterize key coastal flooding dynamics, including storm surge, waves and overland inundation, to identify the most relevant predictors and physical processes to capture
  • Enhance existing machine learning models for processes relevant to coastal risk
  • Explore machine learning methods (i.e. mSWE-GNN) to improve the representation of variability and extreme coastal flooding dynamics
  • Compare machine learning models with alternative surrogate modelling frameworks, including Graph Neural Operators
  • Evaluate model performance in reducing the computational cost associated with traditional numerical modelling while maintaining a high level of accuracy

About the Team

Our Model Development team is responsible for developing mathematical models and information to assess the financial impact of natural hazards. We are a multidisciplinary team of scientists and engineers, combining numerical, statistical, and data-driven approaches to model damages caused by tropical storms, extra-tropical storms, thunderstorms, coastal and freshwater floods, and tsunamis.
By joining our team, you will be part of exciting work within the Coastal Flood Risk team, which focuses on modelling coastal and offshore perils, including storm surge, offshore, nearshore and overland waves, wave setup, and overland inundation.


Moody’s 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 Moody’s 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.

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London, England

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