Fractional Data Science Lead (FP&A) (2-3 days per week)
Core
Senior advisory Data Science Lead guiding structural decisions for a foundational data programme in financial services, ensuring teams build the right data assets for future AI and analytical use cases.
Role type
Senior IC fractional data science lead (FP&A)
Builds
Data marts, semantic layers, data quality frameworks, and upskilled teams
Domain
Financial services (fund administration, corporate services, asset servicing, wealth, banking, insurance)
Required skills
Dimensional data modelling, schema design, semantic layer architecture, SQL, Python, data quality framework definition, executive presence, enterprise-scale data experience
Preferred skills
Microsoft data stack (Fabric, Synapse, Power BI, Azure AI Foundry), advisory/lead capacity background, capability-building experience
Technologies
Microsoft Fabric, Synapse, Power BI, Azure AI Foundry
Responsibilities
Define and govern modelling approach for new data mart; Establish data science fundamentals and good practice across FP&A and data engineering teams; Define data quality dimensions, KPIs and measurement approach; Assess analytical readiness of current data estate; Deliver structured education and upskilling; Advise on data governance implications of downstream AI and agentic tooling
Seniority
Senior, hands-on IC with advisory focus
