Assistant Director Data Science

Salary: £64,000 - 104,000 per year

Requirements:

• Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including working on projects or collaborating 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 environments
• Practical experience using AI coding assistants and agentic developer tools such as Claude Code and OpenAI Codex across the software development lifecycle and machine learning operations practices
• Strong working knowledge of large language models, including prompting, fine-tuning, retrieval-augmented generation, and evaluation techniques
• Experience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK
• Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring
• Ability to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners, 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
• Strong experience using AI tools to lead innovation initiatives
• Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
• Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Masters or Ph.D. in a related discipline is preferred, but not required

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 across the Corporate and Governments business 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 applicable regulations and legal frameworks, and production-ready
• Identify opportunities for automation and model-based enhancement, applying machine learning and deep learning methods to improve accuracy, efficiency, and overall performance
• Foster best practices in coding, experimentation, machine learning operations, and software engineering excellence
• Drive responsible AI practices across the team, including risk management, model governance, and the ethical use of AI and machine learning techniques
• Communicate technical work clearly and concisely, ensuring insights, limitations, and implications are understood by a broad range of stakeholders, including senior leaders

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• Claude Code
• Cloud
• Databricks
• Fine-tuning
• GCP
• Machine Learning
• Python
• RAG

More:

At Moodys, we unite the brightest minds to turn todays risks into tomorrows 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. We are a global leader in ratings and integrated risk assessment, advancing AI to move from insight to action and helping our clients navigate uncertainty with clarity, speed, and confidence. Our Data Science, Machine Learning & Engineering team, part of the broader Corporate and Governments Data Team, designs, builds, and enhances products through AI, machine learning, and generative AI solutions. By joining our team, you will work at the forefront of applied AI and GenAI, collaborate with a global cross-functional data organization, and help shape a growing practice focused on the responsible, ethical, and impactful use of artificial intelligence. We are an equal opportunity employer. Employment may be contingent upon compliance with securities trading policy requirements.

last updated 34 week of 2026