Data Science & AI Delivery Lead

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success?

Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into information, that can be used to:

• Enable decisions to be made with confidence, based on information not just intuition.
• Be more proactive, using information to identify new opportunities, and getting to them before our competitors.
• Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.

This team is working to transform the way in which we do business and to enable us to effectively leverage the latest AI advancements to our competitive advantage. The Data Science & AI Delivery Lead is a key leadership role within this team, acting as the deputy to the Head of Data Science & AI Delivery and ensuring the smooth day-to-day running of AI delivery operations.

What will you do in this role?

The Data Science & AI Delivery Lead acts as the right hand to the Head of Data Science & AI Delivery, taking ownership of the day-to-day execution and coordination of data science and AI delivery across strategic projects and standalone use cases. You will play a hands-on leadership role — driving technical delivery, managing workstreams, and stepping in for the Head of when required.

This is not a purely managerial role. You will be expected to work directly in the codebase, review and shape technical designs, and maintain deep fluency with the tools and techniques the team uses daily. Working closely with the Head of, you will ensure projects are delivered to a high standard, on time, and with strong stakeholder engagement.

In this role you will be responsible for:

• Day-to-Day Delivery Leadership: Own the operational running of AI delivery workstreams, ensuring the team is focused, unblocked, and delivering against priorities. Act as the primary point of escalation when the Head of is unavailable.
• Project Management: Directly manage the design, build, test, and deployment of AI solutions across multiple concurrent projects, ensuring quality and timely delivery.
• Technical Oversight & Contribution:Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case.
• Review code and technical outputs to maintain quality standards, and contribute hands-on to Python-based development when needed, particularly during critical delivery phases or proof-of-concept work.
• Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search).
• Ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.
• Champion engineering best practices across the team, including code review standards, documentation, version control (Git), and a clear separation between experimentation and production-ready code.
• Collaboration: Work closely with AXIS’s Business Technology Solutions for solution architecture and delivery, and with the Program Office for planning deliveries, providing timelines, cost estimates, and status updates. Partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs. -…