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 were looking for someone who can significantly increase productivity while adapting to new ways of working. Youll 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.
Were seeking strong AI technology skills and architectural understanding. For recent graduates were looking for a business bachelors degree with a masters in statistics computer science physics or a related STEM field. For more experienced candidates were 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. Youll 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/ 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.
Required Experience:
IC