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. We strive 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 seek candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Responsibilities
Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development, and deployment of machine learning, AI, and GenAI solutions that enhance existing products and enable new client-facing capabilities. Partner with product, engineering, and business stakeholders to translate client needs and market opportunities into well-scoped data science initiatives. Own model selection, experimentation, and validation end-to-end, ensuring solutions are accurate, scalable, compliant with regulations, and production-ready. Identify opportunities for automation and model-based enhancement to improve accuracy, efficiency, and performance. Foster best practices in coding, experimentation, machine learning operations, and software engineering excellence. Drive responsible AI practices including risk management, model governance, and ethical use of AI. Communicate technical work clearly to senior leaders, cross-functional partners, and non-technical stakeholders.

About the Team
Our Data Science, Machine Learning & Engineering (DSMLE) team, part of the broader Corporate and Governments (C&G) Data Team, designs, builds, and enhances products through AI, machine learning, and generative AI solutions that deliver innovation and value to clients. By joining the team, you will work at the forefront of applied AI and GenAI, translating advanced techniques into client-facing products, collaborating with a global cross-functional data organization, and helping shape a growing practice focused on responsible, ethical, and impactful AI use.

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 machine learning 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 including problem framing, data exploration, solution design, validation, deployment, and monitoring
- Ability to explain and present complex modeling work clearly to senior leaders and non-technical stakeholders
- Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks
- Deep expertise in artificial intelligence 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 a culture of responsible AI adoption

About you
Innovative and strategic thinker with strong leadership skills. Passionate about advancing AI responsibly and ethically. Collaborative team player who values diverse perspectives and continuous learning. Effective communicator able to translate complex technical concepts to varied audiences.

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