### **Description**
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**
- 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).
- 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.
- 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.
- 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.
- Create clear, compelling reports, dashboards, and presentations that translate complex data findings into simple, actionable recommendations for business, product, and executive audiences.
- Develop and implement experimental frameworks for data collection and model evaluation, including A/B testing, model validation, and performance monitoring in production environments.
- 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.
- Work with stakeholders across data, product, design, and executive teams to understand their data science needs, define problem statements clearly, and deliver solutions that are technically rigorous and practically useful.
- Contribute to the continuous improvement of data science practice at Davies, including tooling, methodology, model governance, and knowledge sharing across the AI Office and wider Group.
### **Skills, Knowledge \& Expertise**
- Proficiency in Python and/or R for data analysis, statistical modelling, and machine learning, with strong command of relevant libraries (pandas, scikit\-learn, PyTorch, or equivalent).
- Hands\-on experience with the Microsoft data platform, including Azure Data Factory, Microsoft Fabric, and Power BI, for data ingestion, transformation, and visualisation.
- Experience designing and evaluating machine learning models — including classification, regression, clustering, and NLP techniques — and deploying them in production or near\-production environments.
- Strong SQL skills and experience working with relational databases, data warehouses, and medallion architecture data lake patterns.
- Ability to visualise and communicate complex data in the most effective way possible — matching chart type, narrative, and level of detail to the audience and business question.
- Excellent written and verbal communication skills, demonstrated through the preparation of reports, presentations, and technical documentation for diverse audiences including senior leadership.
- Analytical and problem\-solving mindset with exceptional attention to detail — comfortable searching through large, messy datasets to surface usable and statistically meaningful insight.
- Ability to work independently and collaboratively across teams with different technical backgrounds, translating between data science concepts and business requirements with clarity.
- Experience building data transformation processes that handle workload management, data structures, dependencies, and metadata in a governed, repeatable way.
### **About Davies**
We are a specialist professional services and technology firm, working in partnership with leading insurance, highly regulated and global businesses.
We help our clients to manage risk, operate their core business processes, transform and grow. We deliver professional services and technology solutions across the risk and insurance value chain, including excellence in claims, underwriting, distribution, regulation \& risk, customer experience, human capital, digital transformation \& change management.
Our global team of more than 8,000 professionals operate across ten countries, including the UK \& the U.S. Over the past ten years Davies has grown its annual revenues more than 20\-fold, investing heavily in research \& development, innovation \& automation, colleague development, and client service. Today the group serves more than 1,500 insurance, financial services, public sector, and other highly regulated clients.