Cyber Risk Data Science Intern

Guidewire

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profile Job Location:

San Mateo, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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)

Want to join Guidewire Basecamp

A place for you to belong and thrive.

Guidewire Basecamp is our graduate and intern program. Designed through research from our own former interns and graduate level employees Guidewire Basecamp is the program that all our interns and graduates become a part of when they walk through our doors. We give them the tools to leap further and find their own way so they can confidently Navigate Whats Next in their career.

GWBC Guidewire Basecamp

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 AIempowering 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 Masters 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.

The US base salary range for this full-time position is $52000 - $78000 . Your base pay will depend on your experience skills education training and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health dental and vision insurance paid time off and a company sponsored retirement addition some roles may be eligible for the annual company bonus plan commissions and/or long term incentive awards which are contingent on a variety of factors including but not limited to company and employee performance.

Disability Accommodations and Guidewires 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 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 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 and follow us on Twitter: @GuidewirePandC.

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 its applicable to the position.


Required Experience:

Intern

SummaryAs 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...
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