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Lead design and deliver scalable, secure Azure-based data architectures for insurance platforms (Lloyd's marketplace). Translate business objectives into end-to-end solutions, provide architecture leadership across data platforms and integrations, drive strategy and innovation, support underwriting/claims/policy processes, create roadmaps and data storytelling, and manage stakeholder expectations and governance throughout projects.

The Senior Data Scientist will lead AI/ML projects, manage a data science team, implement analytical solutions, and leverage data for business insights.

The Data Modeler is responsible for designing and architecting enterprise data applications, focusing on data modeling, strategy, and warehouse development.

As a Fullstack Senior Engineer, you will develop and maintain frontend and backend applications for data-driven projects, collaborating with a multidisciplinary team on API integrations and user interface designs.

Responsible for architecting and developing full stack enterprise applications, collaborating with multiple teams, and mentoring junior engineers.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

Lead technology strategy and architecture for data and cloud-native solutions on GCP; engage senior client stakeholders, guide delivery teams, ensure end-to-end execution, mentor engineers, and drive scalable, secure data and ML platforms.

Design, develop, and maintain interactive Power BI dashboards; perform ETL and data modeling; write complex DAX; conduct exploratory analysis; collaborate with stakeholders to translate requirements into BI solutions; ensure data accuracy, security, and performance; present insights to non-technical audiences.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

Lead end-to-end delivery of cloud, data, application development, and digital transformation projects. Define scope, schedules, budgets, and risks; coordinate cross-functional teams; run Agile/Scrum or hybrid delivery; manage stakeholders, vendors, and governance; ensure quality, deployments, and production readiness.