As a Senior Associate - AI / Data at Davies, you will collate, model, and interpret complex data to deliver business-focused insights and applied science solutions across the claims lifecycle and broader professional services operations. You will work across the full data science pipeline — from data assembly and feature engineering through to model development, validation, and deployment — partnering with stakeholders across the Group to turn data into measurable business value.

Key Responsibilities

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Assemble, cleanse, and model large, complex datasets from across the Group to meet functional and non-functional business requirements, using the medallion architecture on the Davies Microsoft data platform (Azure Data Factory, Microsoft Fabric, and Power BI).

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Design, build, and validate statistical and machine learning models for business-focused use cases including claims triage, fraud detection, outcome prediction, and operational efficiency optimisation.

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Collect and structure data through a combination of business analysis, study design,



and automated collection pipelines — identifying the most valuable signals within large, complex datasets.

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Build and maintain analytical tools and reporting solutions that provide stakeholders with actionable insight into key business performance metrics, including operational efficiency, claims outcomes, and customer experience.

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Create transparent, compelling reports, dashboards, and presentations that translate complex data findings into simple, actionable recommendations for business, product, and executive audiences.

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Develop and implement experimental frameworks for data collection and model evaluation, including A/B testing, model validation, and performance monitoring in production environments.

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Partner with data engineers, AI engineers, and platform teams to ensure data science outputs are production-ready, well-documented, and integrated effectively into Davies systems and workflows.

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Work with stakeholders

📌 Senior Associate (Viman Nagar)
🏢 Davies
📍 Viman Nagar