2024 Machine Learning Engineer Summer Intern @ Guidewire

Guidewire is searching for a unique individual who is ambitious, curious, and hungry for a rare chance to transform a 500-year-old industry from the inside out. Through our data listening capabilities, we collect more data (and more important data) than any other company in our market. We seek ways to make sense of it, showcase it, and transform it into insight that feeds billions of decision points every year across pricing, portfolio management, underwriting, claims management, and risk transfer.

At Guidewire, we offer a combination of good working conditions, an excellent market opportunity, a rational and meritocratic company culture, quality software products, and a long history of careful hiring have allowed us to create an enviable work environment.

Guidewire Analytics helps insurers and other financial institutions to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Guidewire Analytics insights help P&C customers face new risks, take advantage of new opportunities and develop new products.

What will I be doing?

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.

Intern Requirements:

Currently pursuing (or just finished) bachelor’s or Master’s (graduating in 2024-2025; Master’s preferred) studies in a Computer Science, Engineering, Mathematics, or related field.
Demonstrate knowledge of:
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.
Preferred Qualifications:
Operational knowledge of Git, Docker, Linux.Strong understanding of various Transformer model architectures (decoder only, Encoder-Decoder, Encoder Only).
Ability to discuss trade-offs and perform independent research
Knowledge of Amazon AWS services such as EC2, EMR, S3, SageMaker, EKS.

Other types of things that we like to cultivate:

Curiosity based on genuine love of technology and analytics
Accountability based on an earnest desire to do what is expected without prompting
Kindness and respect for your fellow teammates

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.

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 (650) 356-4940 or [email protected]. 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, call (650) 356-4940 or e-mail [email protected] 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.

What will I be doing?

Intern Requirements:

Other types of things that we like to cultivate:

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