Innovation Graduate Co-op 2026

Established nearly two centuries ago FM is a leading mutual insurance company whose capital scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners who share the belief that the majority of property loss is preventable represent many of the worlds largest organizations including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions combining property loss prevention with insurance protection.

Join our Innovation Team and help shape the future of technology. Were seeking a highly motivated graduate student with a strong foundation in computer science and a passion for solving complex problems through cutting-edge software solutions. Youll work on real-world projects involving AI cloud-native architectures and scalable systems that have a global impact.

Key Responsibilities

• Collaborate with cross-functional teams to design develop and deploy innovative software solutions.
• Build and optimize microservices using Spring Boot FastAPI and Docker/Kubernetes.
• Contribute to AI/ML initiatives including emotion recognition misinformation detection and precision agriculture.
• Develop APIs and backend systems for scalable secure and high-performance applications.
• Participate in CI/CD pipeline improvements and automated testing using Jenkins Git and Cucumber.
• Analyze and visualize data using Python Pandas and PySpark to support product and business decisions.
• Engage in research and prototyping of emerging technologies including geospatial visualization IoT and cloud-native ML.

• Currently enrolled in a masters program in Computer Science or related field.
• Bachelors degree in engineering (Electronics/Instrumentation or related field).
• Proficiency in programming languages: Python Java C JavaScript.
• Experience with frameworks and tools: Django Spring Boot FastAPI Docker Kubernetes.
• Familiarity with cloud platforms (AWS GCP) databases (PostgreSQL MongoDB Redis) and data science libraries (NumPy Pandas Scikit-learn PyTorch).
• Excellent problem-solving communication and collaboration skills.

Preferred Experience

• Prior internships or full-time roles in software engineering in a relatable field
• Experience with CI/CD microservices architecture and API development.
• Hands-on projects involving machine learning computer vision or data visualization.
• Contributions to open-source or personal tech projects.

FM is an Equal Opportunity Employer and is committed to attracting developing and retaining a diverse workforce.