Fractional Data Science Lead (FP&A) (2-3 days per week)
Core
Senior advisory and technical guidance for a foundational data programme, ensuring structural decisions support future analytical and AI use cases within a fund administration and corporate services context.
Role type
Senior IC fractional data science lead (FP&A)
Builds
Data marts, data quality frameworks, and upskilled teams
Domain
Financial services (fund administration, corporate services)
Deliverable
production ML models
Required skills
Dimensional data modelling, schema design, semantic layer architecture, SQL, Python, data quality framework definition, executive presence
Preferred skills
Microsoft data stack (Fabric, Synapse, Power BI, Azure AI Foundry), 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 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