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Day 16
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From 11,783 similar postings that came down, and 78 of Moody's’s. Coming down is not always a hire.
London, England
Live, first seen by us 16 days agoCurrently pursuing a Master’s degree or PhD in Coastal Ocean Modelling, Machine Learning, or a related field
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
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
Ability to complete a 4-month internship starting March 2027
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
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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.
54 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Education
Responsibilities
Support the development and evaluation of machine learning and surrogate models to improve the efficiency and accuracy of coastal flood risk modelling.
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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