Descartes Underwriting Software Engineer interview questions & guide 2026

The following questions are representative of the patterns observed in Descartes Underwriting interviews. They are designed to test your technical depth, your ability to handle ambiguity, and your alignment with the company’s mission.

Technical and Scientific Coding

These questions assess your core competency in Python and your ability to handle scientific data structures efficiently.

• How would you profile and optimize a piece of slow-running Python code that performs heavy mathematical calculations?
• Explain the trade-offs between functional and object-oriented programming patterns in the context of a scientific simulation.

Preparation at Descartes Underwriting should be structured around demonstrating both high-level system thinking and low-level code quality. Because the company values precision, your preparation should be methodical rather than rushed.

Technical Proficiency – You must demonstrate mastery of Python. This includes not just syntax, but also knowledge of libraries, memory management, and profiling tools.

Scientific Mindset – You will be evaluated on your ability to handle scientific data. Even if you do not have a background in physics or climatology, you must show that you understand how to structure and validate data-heavy processes.

Code Craftsmanship – The company places high value on "coding style." Ensure your code is clean, modular, and follows best practices. Be ready to defend your architectural choices during code reviews.

Communication and Collaboration – You will work with diverse teams. Practice explaining complex technical decisions to stakeholders who may come from non-technical backgrounds, such as insurance underwriters.

The interview process at Descartes Underwriting is designed to be thorough, emphasizing practical skills and cultural alignment. You should expect a series of conversations that progress from high-level motivation to deep-dive technical assessment. A distinctive feature of their process is the focus on a take-home project, which serves as the primary artifact for your technical evaluation.

The visual timeline shows a transition from initial discovery calls to a significant practical assessment. Candidates should treat the technical project as a professional deliverable; your code quality, documentation, and testing strategy are just as important as the functional requirements. The subsequent technical interview will focus heavily on reviewing this work, so be prepared to justify every design decision you made.

Technical Project and Code Quality

This is the cornerstone of your evaluation. You will be asked to complete a project that likely involves a Python backend and a frontend component.

Be ready to go over:

• Code structure – Why did you choose a specific architecture?
• Testing – How did you implement TDD (Test Driven Development) within your project?

As a Software Engineer at Descartes Underwriting, you will be responsible for the full lifecycle of your services. You will spend a significant amount of time refactoring existing code to improve its performance and maintainability. You are expected to introduce object-oriented patterns into functional codebases, making them more modular and easier to test.

You will also work on the scientific engine, which involves implementing risk models, managing data storage, and ensuring your solutions are containerized and ready for production. Collaboration is key; you will frequently discuss technical solutions with IT partners and assist in defining user needs, ensuring that the software you build is directly useful to the business.

A strong candidate for this role possesses a blend of high-level technical skill and the desire to solve real-world climate problems.

• Must-have skills:

• Solid proficiency in Python.

• Experience with Docker and production development workflows.

• Strong scientific or technical background (e.g., Computer Science, Mathematics, Physics).

• Fluency in both French and English.

• Nice-to-have skills:

• Experience with GCP (Google Cloud Platform).

• Background in HPC (High-Performance Computing) or microservices architecture.

• Experience with public APIs and code profiling.

Q: Is the technical project difficult? A: It is designed to be a realistic, manageable project, but the bar for code quality is high. Focus on clean, maintainable code rather than just making it work.

Q: How much focus is there on the insurance industry? A: You don't need to be an insurance expert, but you should show a genuine interest in the company's mission and how technology enables parametric insurance.

Q: What is the company culture like? A: It is a multicultural, collaborative environment that values rigor and continuous learning. You will work with highly specialized teams in a professional, yet dynamic setting.

Q: How long does the process take? A: The process is thorough, typically involving several weeks to allow for the technical project and multiple interview rounds.

• Prioritize Code Style: As seen in previous feedback, a candidate's "coding style" can be a deciding factor. Ensure your submission is clean, readable, and well-documented.
• Be Ready for Code Reviews: The technical interview is essentially a collaborative code review. Don't be defensive; treat it as an opportunity to show how you handle feedback.
• Understand the Business: Research parametric insurance before your first interview. Showing you understand why the company exists will set you apart.
• Practice Your French and English: Since the role requires fluency in both, be prepared to switch between them comfortably during the interview.

The Software Engineer role at Descartes Underwriting is a unique opportunity to combine high-level software engineering with the urgent mission of climate resilience. Success in this process depends on your ability to demonstrate both technical precision and a collaborative, growth-oriented mindset.

Focus your energy on refining your Python skills, mastering your approach to Docker and CI/CD, and preparing to discuss your design decisions in detail during the technical project review. You are joining a team of innovators, and your interviewers will be looking for signs that you are ready to contribute to their high standards of technical excellence. You have the skills to succeed—prepare thoroughly, stay focused on the details, and bring your best work to every interaction.

The compensation data provided reflects the broad range of the Software Engineer role, which can scale depending on your seniority level—ranging from individual contributor to lead roles. Use this as a benchmark to ensure your expectations align with the market and the specific responsibilities of the position.