Insights & Analytics Lead

Axis Communications

. Translate North American underwriting and business needs into data, analytics, data science and AI requirements .

Posted 10/14/2026full-timeUnited StatesSenior💰 $160,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating business needs into data science and AI requirements, with a strong focus on delivering data-driven solutions and effective communication of complex analytical concepts to diverse stakeholders. Proficient in SQL, Python or R, and experienced in machine learning, model evaluation, and agile methodologies.

Highest-signal resume keywords

Data ScienceMachine LearningSQLPythonAgile Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModellingGenerative AIWorkflow AutomationAnalytical ReportingModel DevelopmentData VisualizationStatistical AnalysisTechnical LeadershipOutcome-Focused Success Measures

Soft Skills

Clear CommunicationProblem-SolvingCollaborationAdaptabilityCommercial Judgement

Tools & Technologies

Cloud Data PlatformsAI PlatformsVersion ControlTesting FrameworksReusable Code Practices

Industry Keywords

Insurance IndustryReinsurance IndustryUnderwriting AnalyticsBusiness IntelligenceData Governance

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Translate North American underwriting and business needs into data, analytics, data science and AI requirements
Partner with business teams to understand objectives, decision points, pain points and opportunities
Recommend appropriate analytical approaches, including descriptive or diagnostic analysis, reporting and visualisation, predictive modelling, machine learning, generative AI and workflow automation
Frame analytical questions, develop hypotheses, select methods and validate findings
Convert analysis into practical recommendations and explain business implications, limitations and required actions
Identify opportunities for advanced analytics, machine learning, generative AI and agentic capabilities
Shape solution concepts and technical requirements, including use cases, user journeys, required data, model or AI behaviour, controls, evaluation criteria and expected business value
Rapidly prototype analytical and AI-enabled solutions
Support model development, testing, validation, deployment and performance monitoring with Data Scientists and AI Engineers
Ensure solutions are explainable, fit-for-purpose and aligned with data, AI governance, security and responsible AI requirements
Provide technical leadership within cross-functional agile delivery teams
Contribute technical analysis, solution design, backlog refinement, estimation, sprint planning, demonstrations, testing and retrospectives
Promote reuse of data products, analytical methods, models and components
Define and track outcome-focused success measures and improve solutions after release
Explain analytical and AI concepts in clear business language
Report to the Insights & Analytics Director – North America

Requirements

What you’ll need

Minimum of 7 years’ experience in analytics, business intelligence, data science or AI roles
Minimum of 3 years’ experience in the insurance or reinsurance industry
Substantial hands-on experience analysing complex data and delivering data-driven solutions
Experience translating ambiguous business problems into structured analytical, data science or AI requirements and deliverables
Experience delivering analysis or analytical products from initial discovery and data exploration through recommendation, implementation and adoption
Experience working as part of a cross-functional agile delivery team
Experience communicating complex analysis and technical concepts to non-technical stakeholders through clear visualisations, written conclusions and presentations
Strong practical skills in SQL and at least one analytical programming language, such as Python or R
Good understanding of data science and machine learning methods, model evaluation and the lifecycle required to move analytical solutions into production
Strong problem-solving skills, technical depth, commercial judgement and focus on practical business outcomes
Clear and credible communication skills for technical and business audiences
Ability to work effectively across business, Data & Analytics and Technology teams
Comfortable working iteratively, managing ambiguity and balancing pace with quality, control and maintainability
Education: A degree or advanced degree in a relevant field, such as Data Science, Statistics, Mathematics, Economics, Business Analytics, Computer Science or a related discipline, or equivalent professional experience
Preferred: Experience in North American specialty or commercial insurance underwriting analytics
Preferred: Experience developing or deploying AI, machine learning or advanced analytical solutions into production in an underwriting or portfolio management context
Preferred: Experience with cloud data and AI platforms and modern development practices, such as version control, testing and reusable code

Benefits

Comp & perks

Competitive target incentive compensation based on overall corporate and individual performance
Comprehensive and competitive benefits package
Medical plans for you and your family
Health and wellness programs
Retirement plans
Tuition reimbursement
Paid vacation