Senior Data Specialist

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Actuarial Data & Automation Lead Industry: General Insurance / Non-Life Insurance Employment Type: Permanent About the Opportunity We are working with an established insurance business looking to appoint an Actuarial Data & Automation Lead to take ownership of its actuarial data platform, reporting infrastructure and automation initiatives. This is a hands-on role for someone passionate about data, technology and process improvement, with the opportunity to modernise traditional actuarial workflows and introduce innovative, potentially AI-driven solutions. You don't need to be a qualified actuary, but you must understand the Non-Life Insurance industry and have strong technical expertise in data management, automation and business intelligence. Key Responsibilities Own, develop and enhance the actuarial department's data platform and infrastructure. Design, build and maintain automated data pipelines and ETL processes. Lead the transformation of manual, Excel-based processes into scalable, automated solutions. Develop and maintain dashboards and reporting solutions using QlikSense or similar BI tools. Identify opportunities to implement AI, machine learning and intelligent automation. Improve data quality, integration, accessibility and reporting efficiency. Work closely with actuarial teams across pricing, reserving, claims and financial reporting. Act as the primary technical point of contact for actuarial data requirements. Support colleagues with technical challenges and introduce more efficient ways of working. Independently manage data and automation projects from design through delivery. Essential: Minimum 2 years' experience within General Insurance / Non-Life Insurance. Strong experience in data engineering, analytics, automation or actuarial systems. Hands-on experience with QlikSense, Power BI, Tableau or similar BI platforms. Experience developing data pipelines, ETL processes and automated workflows. Good understanding of insurance datasets, including claims, policies, premiums or reserving. Ability to work independently and take ownership of technical initiatives. Strong analytical, problem-solving and communication skills. Desirable: Python and SQL programming experience. Experience with cloud data platforms and data integration. Exposure to AI, machine learning or AI-driven automation tools. Experience supporting actuarial pricing, reserving or reporting functions. Previous involvement in digital transformation or process automation projects. Actuarial qualifications or actuarial studies are advantageous but not essential. Who Should Apply? We are interested in speaking with professionals from backgrounds including: Actuarial Data Engineering Insurance Data Engineering Actuarial Systems & Automation Insurance Business Intelligence Actuarial Data Analytics Insurance Data Transformation Why Apply? This is an opportunity to take genuine ownership of an actuarial department's data and technology capabilities, drive modernisation initiatives and explore innovative AI applications within the insurance industry. You'll have the autonomy to shape solutions, improve processes and make a measurable impact on how the actuarial function operates.