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. 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.

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

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. 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. Day-to-Day Delivery Leadership: Own the operational running of AI delivery workstreams, ensuring the team is focused, unblocked, and delivering against priorities.

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. Support the Head of Data Science & AI Delivery in leading and developing a growing team of Data Scientists and AI Engineers, fostering a culture of excellence, collaboration, and continuous learning.

Mentor and coach team members through hands‑on pairing, structured code reviews, and knowledge‑sharing sessions on emerging techniques and tools.

Resource & Capacity Planning: Support the Head of in tracking the project pipeline, estimating costs (including cloud compute and API consumption), and managing resource allocation to ensure the team is effectively deployed against priorities.

Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‑source frameworks, vector databases, orchestration tools (e.g., Represent the Head of Data Science & AI Delivery in meetings, steering groups, and stakeholder forums as required, ensuring continuity of leadership and communication. This role reports to the Head of Data Science & AI Delivery. We encourage you to bring your own experience and expertise to the table so, while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.





Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries (e.g., Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark‑based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search.

A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search.

Experience managing or leading technical delivery teams, with a track record of fostering a positive, high‑performing team culture. Excellent communication skills and the ability to translate complex technical concepts for business stakeholders. Strong project management skills, including resource estimation, progress tracking, and meeting deadlines in a fast‑paced, multi‑priority environment.

Experience with advanced NLP techniques beyond prompt engineering, including fine‑tuning and evaluation frameworks for generative models.

Experience working in the (re)insurance industry, with an understanding of underwriting, claims, or actuarial data. Knowledge of responsible AI practices, including bias detection, explainability, and fairness testing. Attend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.

Engage in company activities to grow your network and build a solid team culture. For this position, we currently expect to offer a base salary in the range of $175,000 - $200,000 USD (Current York, NY), $110,000 - $130,000 CAD (Halifax, Nova Scotia) Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance.

On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. This posting is for an existing vacancy. #

📌 Data Science & AI Delivery Lead (Halifax Regional Municipality)
🏢 AXIS (AXIS Capital)
📍 Halifax Regional Municipality