Machine Learning Engineer Intern, Guidewire

• Currently pursuing (or just finished) bachelor's or master's (graduating in 2024-2025) studies in a Computer Science, Engineering, Mathematics, or related field
• Python coding, in particular, data manipulation
• Ability to work independently on a project and as part of a team
• Define, model, and solve real-world, ambitious, insurance problems using various data-driven approaches
• Design and implement tools and frameworks to be used across various machine learning and data science teams
• A strong desire to help build components of our Machine Learning platform that will be used by internal and external Guidewire customers

Desirable

• Guidewire is offering a 3-month internship in the Guidewire Analytics team. The internship is designed to give an opportunity to work in a real-world business environment, and to take responsibility for a specific data project that has the potential to provide real value to our customers
• Our teams tackle a wide variety of interesting problems in the Property & Casualty insurance industry. On this team you will be exposed to a wide variety of problems and projects including the following:
• Explore ways to enhance our data science on modeling processes by exploring novel techniques the creation of models that help with our classification and computational problems
• Expand our internet-scale data listening capabilities by implementing new data sources or extending core API functionality
• Contribute to our efforts to build out our MLOps capabilities and enhance our ability to accelerate ML development and deliver reproducible, testable, and rapidly evolving capabilities to customers
• You will be mentored by experienced data scientists and modelers and exposed to advanced ML techniques and approaches. You will have the opportunity to learn more about the exciting world of Cybersecurity and Cyber Risk quantification. You will be writing Python code, wrangling data from a range of sources and building models