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
Our Cyence Risk Analytics team 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, Cyence 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 Cyence Risk
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.
You will be exploring ways to enhance our data science and
modelling processes. You will explore novel techniques and the
creation of models that help with our classification and
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
* Penultimate year or recent graduate of bachelors or master
studies in a Computer Science, Engineering, Mathematics or related
field. * Demonstrable knowledge in Python coding, in particular
data manipulation * Knowledge and understanding in Statistics *
Demonstrable knowledge in Machine Learning techniques. * Ability to
work independently on a project and as part of a team.
Other things 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
Guidewire is the platform P&C insurers trust to engage,
innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to
deliver our platform as a cloud service. More than 400 insurers,
including the largest and most complex in the world, run on
As a partner to our customers, we continually evolve to enable
their success. We are proud of our unparalleled implementation
track record with 1000+ successful projects, supported by the
largest R&D team and partner ecosystem in the industry. Our
Marketplace provides hundreds of add-ons that accelerate
integration, localization, and innovation.
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 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, call (650) 356-4940 or 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.