At a Glance
- Tasks: Support machine learning models to enhance coastal flood risk assessments.
- Company: Join Moody's, a leader in risk assessment and AI innovation.
- Benefits: Gain hands-on experience in a dynamic, inclusive environment.
- Other info: Exciting opportunity for growth in a multidisciplinary team.
- Why this job: Make a real impact on coastal flood modelling and risk management.
- Qualifications: Pursuing a Master's or PhD in relevant fields with programming skills.
The predicted salary is between 22500 - 27500 £ per year.
London, United Kingdom
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.
Analytics and Modeling Intern - Coastal Flood in London employer: PassFort
Moody's Corporation is an exceptional employer, offering a dynamic work environment that fosters innovation and strategic growth in the financial sector. With a strong commitment to employee development, you will have access to unique opportunities for professional advancement while engaging with key stakeholders across the Middle East. Our inclusive culture values diverse perspectives and encourages collaboration, making it an ideal place for those looking to make a meaningful impact in the credit rating industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics and Modeling Intern - Coastal Flood in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Analytics and Modeling Intern - Coastal Flood in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at PassFort will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at PassFort
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress PassFort.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show PassFort that you’re not just looking for experience, but that you're keen to contribute and grow within the team.