Applied AI - Summer Intern

Moody's Corporation; Greater London; On-site; GBP 14,000 - 18,000; Full time

Job summary

Moody's Corporation in London is offering a Summer Intern position within the Banking Business Unit to work on applied AI initiatives including generative AI, with mentorship and structured training.

You will design AI prototypes, analyze banking data, research new tools, and translate business requirements into AI-driven solutions. This 10-week program provides exposure to Moody's culture and projects.

Qualifications

• Pursuing a degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, Finance, or related fields.
• Graduation between 2027 and 2028.
• Ability to work full-time during the program dates: 14 June – 20 August, 2027.
• Strong knowledge of ML/NLP, AI concepts, and Python.

Responsibilities

• Design and implement AI prototypes for financial risk assessment.
• Conduct data analysis and feature engineering using banking datasets.
• Research emerging AI tools and methods relevant to current use cases.
• Contribute to applied AI projects addressing business challenges.
• Translate business requirements into AI-driven solutions.
• Communicate insights to technical and non-technical audiences.
• Stay current with AI advancements in banking.

Skills

ML & NLP concepts

Generative AI platforms

AI development environments

Python programming

Analytical & problem-solving

Fast learner & initiative

Communication of technical ideas

AI tools for workflows & ethics

Education

Pursuing degree in CS/Engineering/Data Sci

Graduation 2027-2028

Full-time during program dates

Job description

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.

Skills And Competencies

• Solid understanding of machine learning, natural language processing, and data engineering concepts
• Hands-on experience with Generative AI models and platforms such as OpenAI, Hugging Face, or Google Gemini, with a willingness to experiment and learn
• Familiarity with modern AI development environments, cloud platforms, and collaborative tools
• Strong programming skills in Python or similar languages
• Strong analytical and problem-solving skills
• Ability to learn quickly, take initiative, and work effectively both independently and as part of a team
• Ability to communicate technical ideas effectively to a non-technical audience
• 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 degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, Finance, or related fields
• Graduation date of December 2027 – June 2028
• Ability to work full-time during the program dates: 14 June – 20 August, 2027

Responsibilities

The Banking Business Unit works closely with internal and external stakeholders to deliver high-quality products and services to clients. As a Summer Intern, you will contribute to applied AI initiatives, including generative AI projects, that support financial risk assessment and decision-making. You will gain practical exposure through structured training, hands-on project work, and ongoing mentorship.

• Designing and implementing AI prototypes for financial risk assessment and decision support
• Conducting data analysis and context engineering using banking and financial datasets
• Researching emerging AI tools, frameworks, and academic methods relevant to current use cases
• Contributing to applied AI projects, including generative AI initiatives, that address real-world business challenges
• Translating business requirements into AI-driven solutions in collaboration with internal and external stakeholders
• Communicating insights and project outcomes effectively to both technical and non-technical audiences
• Staying current with the latest advancements in AI and their applications in banking

About The Program

The summer internship program is a 10-week experience designed to help students develop skills that are valuable for a future career. This is an internally facing role reporting to a Team Manager. This full-time internship offers a comprehensive view of Moody’s business and culture, along with opportunities to build professional and technical skills. Program elements include networking, mentorship, leadership speaker series, and volunteer events. Interns complete meaningful project work determined by their team, contributing to real business priorities while building confidence and practical experience. Throughout the internship, participants receive mentorship from Moody’s professionals, gain exposure to diverse career paths, and develop a broader understanding of the company. As a Moody’s intern, you will gain real-world experience, turn inputs into action, and contribute as an integral part of the team.

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.