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Analytics Solutions Lead

On-site in London·Added 20 days ago (last checked 1 Oct)

Chubb

25 open roles

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Overview

Benefits

  • 25 days holiday

    Per the ad, which doesn’t say whether bank holidays are on top.

Skills

Nice to have

Requirements

Required Experience

  • 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 — drift detection, performance tracking, alerting

  • Experience defining solution governance frameworks — handoff documentation, acceptance criteria, deployment standards

  • Exposure to GenAI / LLM deployment in enterprise settings

  • Cloud platform experience — Azure preferred

  • Experience working in regulated industries — insurance or financial services strongly preferred

  • Demonstrable experience with responsible AI practices — explainability, bias review, model auditability

Desirable

  • Experience with insurance platforms (Duck Creek, Guidewire, Acturis)

  • Experience with pricing or actuarial model deployment

  • Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands-on ownership

  • Experience with ML lifecycle tooling — MLflow, Azure ML, or equivalent

  • Python proficiency — able to read and review analytical code, contribute where needed

  • Consulting or forward-deployed engineering background (Palantir, QuantumBlack, or equivalent)

  • Experience leading or mentoring data scientists and analytics professionals

We offer in return!

Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.

Integrity. client focus. respect. excellence. teamwork

Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.

Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

The role

Required Experience

  • 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 - drift detection, performance tracking, alerting

  • Experience defining solution governance frameworks - handoff documentation, acceptance criteria, deployment standards

  • Exposure to GenAI / LLM deployment in enterprise settings

  • Cloud platform experience - Azure preferred

  • Experience working in regulated industries - insurance or financial services strongly preferred

  • Demonstrable experience with responsible AI practices - explainability, bias review, model auditability

Desirable

  • Experience with insurance platforms (Duck Creek, Guidewire, Acturis)

  • Experience with pricing or actuarial model deployment

  • Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) - awareness required, not hands-on ownership

  • Experience with ML lifecycle tooling - MLflow, Azure ML, or equivalent

  • Python proficiency - able to read and review analytical code, contribute where needed

  • Consulting or forward-deployed engineering background (Palantir, QuantumBlack, or equivalent)

  • Experience leading or mentoring data scientists and analytics professionals

We offer in return!

Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.

Integrity. client focus. respect. excellence. teamwork

Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive.

Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

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