Analytics Solutions Lead

Salary: £60,000 - 100,000 per year

Requirements:

• 8+ years in data science, analytics, analytics engineering, or forward-deployed analytics/AI roles, with a demonstrable track record of getting analytics into production in complex organisations
• Proven experience deploying analytics solutions end-to-end, from problem framing through to production, adoption, and impact measurement
• Experience embedding directly with business stakeholders and driving behavioral change through analytics, not just delivering technical outputs
• Demonstrated ability to measure and communicate the commercial impact of analytics deployments
• Experience working across analytics and engineering teams, translating model outputs and analytical designs into deployment-ready specifications
• Ability to engage credibly with Solution Architects on design trade-offs, platform constraints, and integration patterns
• Experience designing and operating model monitoring frameworks, including drift detection, performance tracking, and alerting
• Experience defining solution governance frameworks, including handoff documentation, acceptance criteria, and deployment standards
• Exposure to GenAI / LLM deployment in enterprise settings
• Cloud platform experience, with Azure preferred
• Experience working in regulated industries, with insurance or financial services strongly preferred
• Demonstrable experience with responsible AI practices, including explainability, bias review, and model auditability
• Experience with insurance platforms such as Duck Creek, Guidewire, or Acturis
• Experience with pricing or actuarial model deployment
• Familiarity with MLOps concepts, including CI/CD pipelines, model registries, and automated testing; awareness required, not hands-on ownership
• Experience with ML lifecycle tooling such as MLflow, Azure ML, or equivalent
• Python proficiency, able to read and review analytical code and contribute where needed
• Consulting or forward-deployed engineering background, such as Palantir, QuantumBlack, or equivalent
• Experience leading or mentoring data scientists and analytics professionals

Responsibilities:

• Embed directly with business stakeholders such as underwriters, pricing leads, and portfolio managers to understand how analytics can change decision-making
• Deploy solutions rapidly and iteratively, shipping working capability quickly, gathering real-world feedback, and improving solutions
• Drive adoption of deployed analytics, ensuring tools and models are used, understood, and trusted by intended users
• Define solution specifications and deployment requirements so Solution Architects and Deployment Engineers can build and release production-grade analytics solutions
• Collaborate with Solution Architects to ensure analytics designs conform to enterprise architecture standards, platform constraints, and non-functional requirements
• Define measurable success criteria for each deployed solution, including both technical metrics and commercial outcomes
• Design and lead change management plans for analytics deployment so new tools and models are adopted, not just installed
• Develop and deliver targeted enablement for business users, including underwriter training on model outputs and pricing team workflows that embed decision support
• Bring field learnings back to sharpen the analytics roadmap and proactively identify new deployment opportunities across the business

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Embedded
• Support
• LLM
• MLflow
• MLOps
• Python
• Security

More:

We offer a senior, forward-deployed analytics leadership role embedded at the intersection of data science, engineering, and business within our EMEA insurance business. This is a deployment-first role focused on taking analytics and AI capabilities from development into production, driving measurable commercial outcomes and operational adoption. We offer a competitive salary and pension scheme, discretionary bonus scheme, 25 days annual leave plus the ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, subsidised gym membership, comprehensive learning and development offerings, and an Employee Assistance Program. Our core values are integrity, client focus, respect, excellence, and teamwork, and we are committed to a collaborative, supportive, ethical, and inclusive workplace.

last updated 36 week of 2026