Data Analyst Intern

Summary

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.

Our HazardHub team here at Guidewire is responsible for building HazardHub data products that help insurance carriers, MGAs, and brokers make more informed decisions. You will be working alongside a team of data scientists, geospatial analysts, and industry experts to provide meaningful insights to HazardHub prospects and clients.

Job Description

What will I be doing?

Guidewire is offering a 3-month internship in the HazardHub team. The internship is designed to give an opportunity to work in a real-world business environment and to take responsibility for specific data projects that have the potential to provide real value for risk analytics to our customers. 

Data is just data until it’s brought to life with a story, meaningful visualizations and clear, effective communication. Reporting to our Industry Advisory team, you will gain great experience from experienced veterans in the P&C space.  You will analyze insurance portfolios to uncover trends and insights, particularly in property insurance. Collaborating with cross-functional teams, your work will help bring clarity and drive customer confidence in our risk solutions. 

• Clean, transform, and normalize data

• Apply analytical acumen in an insurance context

• Work with high attention to detail and a curious mindset

You will be mentored by experienced data scientists and data engineers, and exposed to geospatial data, product positioning, actuarial techniques, and HazardHub workflows. The tools to accomplish the task are largely Python, SQL, or Excel. You will get exposure to working in AWS. 

Intern Requirements:

• Currently pursuing (or recently completed) bachelor's or master’s studies in Actuarial Science, Data Science, Statistics, Mathematics, or or related field.

• Demonstrable knowledge of:

• Python coding, in particular data manipulation

• Insurance risk analytics

• Clear communication and organization skills

• Ability to work independently on a project and as part of a team. 

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.

Why Guidewire?

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. 380 insurers, including 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 700+ 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. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 

The US base salary range for this full-time position is $50,000 - $96,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pa