Data Scientist

Job Summary

Are you someone who gets excited by turning complex data into meaningful insights? You thrive at the intersection of technology, analytics, and real-world business impact. If you love working with large datasets, building smart solutions, and collaborating with a team of passionate specialists, this could be your next great adventure!

About the Role

As a Data Scientist within our Non-Life Actuarial Reserving team, you will be at the heart of data-driven decision-making. Your work will directly support actuarial reserving processes-helping experts set reserves, generate insights, and communicate results to key stakeholders. You'll bring your technical expertise to life through data transformation, visualization, and application development, while also contributing to exciting transformation projects that shape the future of our systems and processes. This is a role where your curiosity, initiative, and technical skills will truly make a difference.

Key Responsibilities

• Transform and process data using Python, R, and SQL to support actuarial reserving workflows
• Design and deliver data visualisations and reports using MS Power BI to communicate insights clearly and effectively
• Build and maintain interactive applications using R Shiny to support actuarial teams in their day-to-day work
• Champion data quality and governance by identifying issues, implementing standards, and ensuring data integrity across processes
• Contribute to transformation projects aimed at modernising future systems and processes
• Respond to ad-hoc data and reporting requests from reserving actuaries and other stakeholders in a timely and accurate manner
• Collaborate closely with reserving actuaries and cross-functional teams across multiple locations to deliver impactful analytics solutions
• Identify and implement process optimisations to continuously improve efficiency and effectiveness of data and analytics workflows

About the Team

You will be part of the Non-Life Actuarial Reserving Data & Analytics team - a dynamic, collaborative group spread across multiple global locations. We are dedicated to delivering innovative data and analytics solutions, driving process optimisations, and bringing technology expertise to the forefront of actuarial reserving. Our team works hand-in-hand with reserving actuaries to help them set reserves with confidence, produce compelling presentation materials, and share meaningful insights with their stakeholders. We are a team that values curiosity, ownership, and continuous improvement - and we would love to have you on board!

About You

You are a proactive, detail-oriented professional who takes ownership of your work and is always looking for ways to improve. You manage your time well, stay on top of deadlines, and can prioritise effectively even when juggling multiple tasks. You communicate clearly and confidently - whether you're presenting findings to technical colleagues or explaining complex data concepts to non-technical stakeholders. Above all, you are committed to continuous learning and bring a growth mindset to everything you do.

Requirements

• At least 5 years of relevant work experience
• University degree in computer science, mathematics, physics, engineering, or another quantitative discipline
• Proficiency in Python, R, and SQL with demonstrated experience in data transformation and analysis
• Proficiency in MS Power BI for data visualisation and reporting
• Proficiency in MS Excel for data analysis and reporting tasks

Nice to Have

• Experience in re/insurance, particularly knowledge of actuarial methods and financial accounting - a strong plus
• Familiarity with cloud-based analytics platforms such as Databricks or Palantir Foundry
• Experience with Apache Spark for large-scale data processing
• Experience with MS Azure for cloud-based data solutions
• Experience with R Shiny for building interactive data applications
• Experience with Git for version control and collaborative development
• Knowledge of additional programming languages

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.