Finance Data Scientist

Salary: £63,000 - 103,000 per year

Requirements:

• Background working within the insurance industry.
• Technical background in finance, actuarial science, data analytics, or a related field.
• Practical experience with Power BI, SQL, R, and Databricks.
• Solid understanding of financial and/or actuarial processes and data.

Responsibilities:

• Collect, organise, and analyse large financial and actuarial datasets from multiple sources.
• Generate data-driven insights to support business decisions and improve financial outcomes.
• Build predictive models to identify financial risk factors and improve forecasting accuracy.
• Develop analytical models to identify data quality issues, trends, and exceptions.
• Review financial and actuarial processes to identify automation and process improvement opportunities.
• Design and build automated data workflows using Databricks and scalable data pipelines.
• Reduce reliance on manual and Excel-based processes by improving data automation and efficiency.
• Collaborate with finance and actuarial teams to identify opportunities for data-driven improvements.
• Develop Power BI dashboards and reports to communicate key insights clearly to stakeholders.
• Monitor industry trends and emerging technologies relevant to data, analytics, and insurance.
• Work with IT to ensure financial data is securely stored, managed, and analysed.
• Maintain data documentation and comply with governance, quality, control, and audit standards.

Technologies:

• Databricks
• Excel
• Support
• Power BI
• SQL

More:

We are partnering with a rapidly growing specialty insurer to recruit a Finance Data Scientist. The successful candidate will support the transformation of our finance and actuarial function by applying data science techniques to financial data, automating manual processes, and building predictive and analytical models and dashboards that communicate insights clearly to stakeholders. This is a permanent role within a change management discipline.

last updated 36 week of 2026