Full-Stack Engineer (Forward Deployed) - Digital Client Experience - MarshIrishJobs • Dublin, Dublin, Ireland

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Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Marsh

IrishJobs

Dublin, Dublin, Ireland

Dublin, Dublin, Ireland

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Full-Stack Engineer (Forward Deployed) - Digital Client Experience - Innovation & Applied AI - Marsh Marsh is hiring a full-stack engineer to join our Innovation & Applied AI team within the DCX initiative, focused on building a competitive digital platform. The team is 20 people, primarily based in London, and we're looking for someone who can significantly increase productivity while adapting to new ways of working. You'll have the opportunity to help build what we believe will become the largest data platform in the insurance industry and a sophisticated digital platform supporting renewal strategy. We're seeking strong AI technology skills and architectural understanding. For recent graduates, we're looking for a business bachelor's degree with a master's in statistics, computer science, physics, or a related STEM field. For more experienced candidates, we're looking for strong data foundations and a proven ability to apply AI at scale in real-world, production environments. The ideal candidate is a versatile full-stack data professional who thrives in complex, fast-paced environments, combining deep technical expertise with strong business acumen in retail operations and insurance risk. You'll be a proactive problem solver and collaborative communicator who can turn ambiguous business challenges into robust, data-driven solutions - using data to drive strategic risk management and insurance recommendations. We will count on you to: Own features end-to-end - from data consumption and querying throughAPI logictoclient-facing UI(minimal handoffs, high autonomy). Self-source the data you needby navigating our data platform (e.g., Databricks/lakehouse patterns), writing SQL, and understanding upstream structures and quality. Build and operatescalable, secure pipelines and curated data layersthat power risk analytics and insurance recommendations. Implementfront-end mathematical/actuarial computationwith precision (e.g., exposure analysis, loss projections, premium/price-impact calculations) and validate results. Developbackend services and APIs(TypeScript/Node; NestJS or similar) to support data access, computation, and model inference. Buildmodern React experiences(components, state, data visualisation) that explain insights and recommendations clearly to end users. Integrate AI into your delivery workflow(e.g., Copilot, code generation, automated testing) to increase quality and throughput. Build stronginsurance/actuarial domain understandingto make product-informed engineering decisions and translate ambiguous needs into working software. What you need to have: StrongTypeScript/Node.jsexperience, includingNestJS(or comparable frameworks) in production. StrongReactskills (component architecture, state management) and experience delivering data-heavy UIs. StrongSQL/data queryingskills and the ability to self-serve fromDatabricksor similar data platforms. Solidmath/quantitative skills, comfortable implementing and validating actuarial/financial computations on the client side. Experience buildingAPIs/servicesthat connect data, computation, and user-facing applications. High ownership and comfort working fromambiguous requirements, making sound decisions independently. Ability to learn quickly and builddomain expertise in insurance/actuarial concepts. AI-enabled developmentexperience - using AI tools daily and shaping AI-augmented engineering practices. What makes you stand out? Experience withdata visualisation libraries(D3, Recharts, AG Grid, etc.). Prior work onpricing, underwriting, exposure, claims, or risk analyticsproducts. Familiarity with modernlakehouse/data engineeringpatterns and production reliability practices (testing, observability, performance). Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit or follow us on LinkedIn and X. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at . Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.

TLNT1_IJ

Dublin, Dublin, Ireland

Sprachkenntnisse

English

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