Actuary & Senior Data Scientist - Non-Life EME CoE (m/f/d)

Zurich is a leading multi-line insurer that serves its customers in global and local markets. With about 55,000 employees, it provides a wide range of property and casualty, life insurance products and services in more than 215 countries and territories. Zurich's customers include individuals, small businesses, and mid-sized and large companies, as well as multinational corporations.

136681 | 80 - 100% | Oerlikon, Zürich

Are you passionate about turning data into business value and driving innovation in an international environment? Join Zurich's Non-Life EME Reserving Centre of Excellence as an Actuary & Senior Data Scientist and help shape the future of reserving and analytics across Europe and the Middle East.

In this impactful role, you will leverage advanced analytics, artificial intelligence and automation to enhance reserving processes and support data-driven decision-making. You will act as a key contact for IT-related questions, drive data improvement projects, and educate actuarial colleagues on the efficient use of AI and data transformation tools. Your contributions will ensure the security, stability, and efficiency of reserving processes while fostering innovation and collaboration across the region.

If you combine technical expertise with the ability to engage confidently with senior stakeholders, influence decisions and drive initiatives, this is your opportunity to make a tangible impact. We offer a dynamic environment where your technical expertise and business insights will drive innovation and excellence in the insurance industry.

What you can expect

• You support the development, automation, and optimization of our tools, including the use of AI agents to create innovative solutions.
• You act as the point of contact for all IT-related questions in the EME Reserving Centre of Excellence, ensuring technical challenges are efficiently resolved.
• You advise, coordinate, and drive data improvement projects to enhance data accessibility, quality and utilization.
• You review the data transformation and reserving processes with a focus on efficiency, stability and security, and drive continuous improvements.
• You educate actuarial colleagues in the efficient use of AI tools, relevant programming languages, and other data and technology-related capabilities.

What makes you stand out

• Strong programming skills in Python or R, with experience developing AI solutions and AI agents using Claude Code or similar tools. Familiarity with Power BI, DAX and Power Query will be an advantage.
• Previous experience in a data-science related role in the insurance industry.
• A team-oriented, curious, and positive personality, supported by strong communication, stakeholder management, and relationship-building skills.
• Fluent English; additional European languages are an advantage.
• A Master's degree in mathematics, statistics, physics, actuarial sciences, computer science, or a related field, and either a completed or partly completed actuarial qualification or a willingness to pursue one.

Good to know

Part-time or full-time: 80 - 100%

Work location: Oerlikon, Zurich

Start date: from 01.11.2026 or by agreement

Travel: up to 10% per year

Hybrid working: up to 40%

Everything about your application

As a first step, you can apply directly online. All you need is your CV. You can find further information about the application process here.

We are committed to an efficient and respectful application process. Our Talent Acquisition team reviews your application personally, without the use of artificial intelligence. After your first personal meeting with the responsible hiring manager, you will always receive individual feedback from us, because we believe meaningful feedback is based on personal dialogue.

For this position, we do not work with recruitment agencies. Unsolicited applications will neither be considered nor compensated.

Do you have any questions? Bernd, Senior Talent Acquisition Consultant will be happy to assist you on +41 44 628 41 14.