Zurich Insurance

We're looking for an Internal Control Testing Platform Intern to support the operation, adoption, and continuous improvement of internal control testing technology platforms, reporting solutions, and support processes.

🎯 Responsibilities

• Support the day-to-day operation, maintenance, and continuous improvement of the ZCTA-IQ platform and related ZICTT technology solutions
• Act as the first point of contact for platform support, including ticket triage, issue resolution, and coordination with development teams
• Develop, maintain, and enhance Power BI dashboards and reporting solutions
• Ensure reporting data is accurate, high quality, and aligned with business needs
• Work with business stakeholders to gather requirements, deliver training and onboarding, and drive platform adoption and user satisfaction
• Serve as the functional Subject Matter Expert (SME) for the platform
• Translate business requirements into functional solutions and support User Acceptance Testing (UAT) and release activities
• Contribute to the prioritization and delivery of platform enhancements that improve usability, efficiency, and business value
• Support the evolution of the ZCTA-IQ Agentic AI solution through testing, validation, and continuous improvement
• Identify and promote automation opportunities, operational efficiencies, and best practices for the responsible use of AI
• Monitor platform performance, reporting effectiveness, and user feedback to drive continuous service improvement
• Maintain platform documentation, knowledge articles, and support materials to enable effective knowledge sharing and operational consistency

🛠️ Requirements

• Currently pursuing a Bachelor's or Master's degree in Information Technology, Computer Science, Business Analytics, Data Analytics, Engineering, Finance, or a related field
• Interest in data analysis, reporting, technology platforms, and digital solutions
• Basic knowledge of Power BI, Excel, or other reporting and analytics tools
• Strong analytical and problem-solving skills, with attention to detail
• Good communication and stakeholder management skills
• Ability to collaborate effectively in an international and multicultural environment
• Advanced English communication skills
• Interest in AI technologies and their application to business processes

➕ Nice to have

• Academic or internship experience in analytics, reporting, audit, risk, compliance, or technology
• Familiarity with Power BI, Power Platform, or data visualization tools
• Exposure to Jira, ServiceNow, or similar collaboration and ticketing tools
• Experience using AI tools such as Microsoft Copilot, ChatGPT, or automation solutions
• Interest in software testing, UAT activities, or product support environments
• Curiosity about emerging technologies and continuous improvement initiatives

🤗 What we offer

• Paid internship of up to 30 hours per week, with a flexible schedule
• Access to LinkedIn and internal training opportunities
• Special discounts on selected brands and products, as well as banking and insurance benefits
• A welcome pack with company gadgets
• Access to workspace facilities including coffee, fruit, gaming areas, a gym, and other recreational spaces
• Summer and Christmas events, plus social clubs such as hiking, investment, and beach volleyball
• A comprehensive career plan with opportunities to work on global projects, learn from experienced professionals, and use innovative technologies

📄 Application details

• Please submit your CV in English

We're looking for a Senior Data Engineer to design, build, and operate scalable data and AI solutions for Retail Claims, Pricing, and Underwriting.

🎯 Responsibilities

• Design and build end-to-end data and AI solutions, including scalable, secure, and observable data pipelines and services from ingestion through production.
• Apply modern software development lifecycle practices across data and AI engineering projects.
• Implement high-performance ETL/ELT processes in AWS or Azure using Spark and Databricks for batch and real-time workloads.
• Ensure strong data quality, lineage, reliability, and operational performance.
• Build and maintain CI/CD pipelines using tools such as Azure DevOps and Jenkins for data platforms and machine learning products.
• Automate testing, deployment, and monitoring across environments.
• Design, implement, and operate cloud-native microservices and APIs that expose data and AI capabilities.
• Deploy services in secure and resilient cloud environments.
• Define and implement MLOps strategies, including versioning, feature stores, monitoring, drift detection, and model lifecycle management.
• Collaborate with Data Science and Architecture teams to productionise machine learning models.
• Translate Claims, Pricing, and Underwriting requirements into robust technical architectures.
• Influence design decisions and ensure solutions are both technically feasible and valuable to the business.
• Design and implement AI-powered products using large language models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agentic workflows.
• Collaborate with actuaries, data scientists, product owners, and business subject-matter experts to deliver production-ready solutions.

🛠️ Requirements

• Advanced knowledge of Python, Databricks, AWS, Docker, Kubernetes or similar technologies, Git or similar tools, LLMs, Spark, and Azure DevOps or Jenkins.
• 5–10 years of experience building production-grade data and backend solutions with Python.
• 5 years of cloud engineering experience with AWS or Azure, preferably in data-intensive environments.
• 5–10 years of experience working with Databricks as a cloud-based data and AI platform.
• 5 years of experience designing multi-cloud CI/CD pipelines and automated deployments for infrastructure, data, and machine learning.
• 5 years of experience designing, implementing, and operating distributed services and APIs.
• 2 years of experience integrating OpenAI, Anthropic, AI agents, or MCP-based services into real-world applications.
• 2 years of experience building and operating APIs and end-to-end backend services.

➕ Nice to have

• Experience in insurance, financial services, or another highly regulated industry.
• Exposure to Claims, Pricing, or Underwriting domains and their data.

🤗 Benefits

• Competitive salary and yearly bonus.
• Flexible working model to support work-life balance.
• Option to work abroad for up to 25 days per year.
• More than €300 to set up a home office, plus an additional monthly home office allowance.
• Internal and external training opportunities, including English, German, and Spanish classes based on business needs.
• Restaurant voucher and health insurance, with the option to exchange them for other benefits.
• Life and accident insurance.
• Collective life retirement plan.
• Referral bonus of €2,000 for successful referrals.
• Special banking and insurance conditions, plus exclusive employee discounts.
• Functional diversity benefits.
• Stock options and mortgage benefits.

📄 Application details

• Please submit your CV in English.