Location
London

Hours
Full Time

Salary
Negotiable

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—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. As a global leader in ratings and integrated risk assessment, Moody’s is transforming how the world sees risk by 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.

In this role, you will lead the design, development, and delivery of innovative AI, machine learning (ML), and generative AI (GenAI) solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. You will own the full model-development lifecycle, from problem framing and data exploration to solution design, validation, deployment, and ongoing monitoring.

You will partner with product, engineering, and business stakeholders to translate client needs and market opportunities into well-scoped data science initiatives. You will foster best practices in coding, experimentation, ML operations, and software engineering excellence while driving responsible AI practices, including risk management, model governance, and ethical AI use.

As part of the Data Science, Machine Learning & Engineering (DSMLE) team within the Corporate and Governments Data Team, you will work at the forefront of applied AI and GenAI, collaborating globally to shape a growing practice focused on the responsible, ethical, and impactful use of artificial intelligence.

Experience
- Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including collaboration with data scientists and engineers
- Hands-on experience building, training, and evaluating machine learning and deep learning models, including modern architectures such as transformers
- Strong programming skills in Python with practical experience deploying ML models and services into production
- Practical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex
- Strong working knowledge of large language models (LLMs), including prompting, fine-tuning, retrieval-augmented generation (RAG), and evaluation techniques
- Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or OpenAI Agents SDK
- Ability to own the full model-development lifecycle and communicate complex modeling work clearly to senior leaders and non-technical stakeholders
- Working knowledge of cloud-based data and ML platforms such as AWS, Azure, GCP, and Databricks
- Deep expertise in AI with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency
- Demonstrated leadership in managing AI-related risks, ethical governance, and fostering responsible AI adoption

About you
You are a collaborative leader who models Moody’s values: investing in every relationship, leading with curiosity, championing diverse perspectives, turning inputs into actions, and upholding trust through integrity. You are passionate about innovation and responsible AI, able to translate complex technical concepts into clear insights for diverse audiences. You thrive in a fast-paced environment and are committed to ethical AI practices and continuous learning.

Qualifications
Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required. A Master’s or Ph.D. in a related discipline is preferred but not required.