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Summary
As a Cyber Risk Data Science Intern, you will work at the intersection of cybersecurity, financial risk modeling, and machine learning. You will join a high-caliber multidisciplinary team of Data Scientists, ML Engineers, and Data Engineers, contributing to the next generation of probabilistic risk models that help the insurance industry quantify the financial impact of cyber-attacks.This is a high-growth learning opportunity where you will be directly mentored by one of our Principal Modelers, providing you with deep technical guidance and industry insights as you transition from academia to production-level data science.
Job Description
Location: Guidewire HQ, San Mateo, CA
Duration: 6 months (June - November)
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Key Responsibilities
Model Development & Validation: Assist in calibrating and testing cyber risk models used in the (re)insurance and financial services markets.
Impact Quantification: Help implement methodologies to simulate the financial impact of cyber events on single entities and large-scale portfolios.
Feature Engineering: Explore diverse, "noisy" datasets (unstructured and semi-structured) to discover new features that enhance our probabilistic models.
Data Visualization: Develop and refine tools to effectively communicate the potential cascading impacts of cyber catastrophes.
Production Integration: Support the team in automating modeling processes within our production pipeline to feed the Guidewire platform.
Cross-Functional Collaboration: Engage with ML and Data Engineers to ensure models are scalable, efficient, and well-integrated.
At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
Qualifications and Requirements
Education: Degree Preferred - Currently pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a related quantitative field.
Programming Proficiency: Strong skills in Python and fluency in data manipulation tools (SQL, pandas, or PySpark).
Machine Learning: Academic or project-based experience with ML libraries such as Scikit-learn, XGBoost, or Statsmodels.
Cloud Awareness: Familiarity with AWS environments (S3, EC2, Athena) and an interest in learning MLOps tools like Airflow or SageMaker.
Analytical Rigor: Ability to think critically about data quality and apply creative problem-solving skills to complex datasets and extreme disaster scenarios.
Communication: Strong verbal and written skills to share findings with a technical team.
Growth Mindset: A positive attitude and a desire to leverage AI and data-driven insights to solve real-world financial risks.
Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.
Bonus Points
Experience with probabilistic modeling or catastrophe modeling.
Prior internship experience in a data-centric role.
Familiarity with cybersecurity concepts or the Property & Casualty (P&C) insurance industry.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
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