Finance Data Scientist: Actuarial Insights with Databricks

Eames Consulting; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

London-based insurer seeks a Finance Data Specialist to join the Digital Finance function. The role blends data science with finance and actuarial work, applying techniques to financial datasets and building models to improve forecasting and reporting.

Daily tasks include pulling large data sets, flagging risk factors, and delivering Power BI dashboards for stakeholders. Collaboration with finance, actuarial and IT is essential to identify automation opportunities and maintain data governance.

Qualifications

• Technical background in finance, actuarial science or data analytics.
• Hands-on experience with Power BI, SQL, R and Databricks.
• Strong communication skills to translate complex analysis to business audiences.
• General insurance experience and data governance exposure; accounting/actuarial qualification is essential.

Responsibilities

• Pull large financial and actuarial data sets for analysis and forecasting.
• Build predictive models to flag risk factors and data quality issues.
• Create Power BI dashboards for stakeholders to drive decisions.
• Collaborate with finance, actuarial and IT to identify automation opportunities.
• Ensure data security and governance; document data sources and processes for audit.

Skills

Power BI

SQL

R

Data analytics

Data governance

Stakeholder communication

Finance/actuarial processes

Education

Accounting qualification

Tools

Databricks

Job description

London-based insurer seeks a Finance Data Specialist to join the Digital Finance function. The role blends data science with finance and actuarial work, applying techniques to financial datasets and building models to improve forecasting and reporting.

Daily tasks include pulling large data sets, flagging risk factors, and delivering Power BI dashboards for stakeholders. Collaboration with finance, actuarial and IT is essential to identify automation opportunities and maintain data governance.