Analytics & AI Engineer

We are looking for an analytical engineer with experience coding in Python to build intelligent insights for our business applications. You will fuse large volumes of structured and unstructured data which has been prepared in our data lake with AI models and custom code to help inform decisions taken by users. This is an opportunity to work on the bleeding edge of technology and apply your analytical and programming skills to solve real-world challenges.

About The Role

In this role you will act as the bridge connecting our transactional systems with analytical platforms to complete the loop from data capture to decision taking. You will apply your analytical brain and knowledge of MLOps, big data processing, and AI models to serve up queryable insights as high-quality, permissioned apis. Responsibilities include:

• Experience with GenAI, specifically from the unstructured-data space (e.g., entity extraction from PDFs, summarization)
• Agentic AI workflow design and implementation.
• Developing eval test suites to ensure model correctness.
• Creating safety guardrails to ensure responsible access to AI models.
• Writing and reviewing analytical Python code, and ensuring that appropriate architectural patterns and practices are applied. Managing Spark build pipelines. Operational production stability, incident handling, testing, and application monitoring.
  
  

About The Team

Our Corporate Solutions Platforms team values technical excellence and practical leadership. We create carefully designed, thoughtfully implemented applications that exceed user expectations through close collaboration with product owners. We prioritize quality and stability in everything we build and maintain high standards through leading by example and continuous improvement.

About You

You are someone who has a passion for business insights and understands the fundamentals of machine learning combined with big data analytics. You keep your knowledge of emerging AI models up to date with practical experience and keep abreast of developments in this fast-moving area. You value diverse perspectives and know how to work in a cross-functional team with other experts throughout product and engineering.

• Must be proficient with Python and understand Spark and the Hadoop ecosystem.
• Software engineering and cloud backend development, recent hands-on work building GenAI/RAG applications (Azure, OpenAI, LangChain/LangGraph).
• Must be willing to learn how our large-scale SaaS data analytics platform works.
• Must have working knowledge of AI models and how they differ from training traditional ML models.
• Experience with development best practices (e.g., writing tests and documentation, GIT)
• Experience deploying AI systems into production environments, including model monitoring and maintenance
• Experience with Data Science / Statistics (e.g., knowledge about evaluation metrics and concepts like overfitting, train/test split)
• A continuous learner who remains open-minded and curious about new technologies.
• [Nice-to-have] Familiarity with the (re) insurance domain
  
  

[Nice-to-have] Familiarity with the TypeScript language

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

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