Data Scientist/Actuarial, Guidewire

$124-166k

+ Bonus + Equity; Salary dependent on location

SQL

Python

Junior, Mid and Senior level

Remote from US

Back-end software for P&C insurance

Job no longer available

Back-end software for P&C insurance

1001+ employees

B2BEnterpriseInsuranceSaaSDevOpsCloud Computing

Job no longer available

$124-166k

+ Bonus + Equity; Salary dependent on location

SQL

Python

Junior, Mid and Senior level

Remote from US

1001+ employees

B2BEnterpriseInsuranceSaaSDevOpsCloud Computing

Company mission

To constantly improve, so insurance companies can successfully respond to customer needs in a world where technology and risk are changing dramatically.

Job

Company

Role

Who you are

Bachelors degree
Experience using statistical modeling tools such as SAS, Emblem, DataRobot or experience with Python or R
Expert SQL skills ACAS or CSPA preferred, but will consider near ACAS statisticians and data scientists with appropriate work experience
2-6 years of experience in an actuarial role in the US or Canadian P&C industry either with a carrier or consulting firm
Experience with P&C policy administration and claims processing concepts
Passion for solving complex data problems experience working with Guidewire ClaimCenter and/or PolicyCenter data preferred
Experience and skill in communicating insights to both technical and non-technical personnel at all levels of the organization
Strong customer orientation and ability support sales conversations with customers
Ability to plan and carry out projects with minimal direction, yet a team player
Self-motivated and detail-oriented
Required to have Property & Casualty Insurance Industry and Actuarial experience

What the job involves

We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market
This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry
Develop leading edge predictive models on data from multiple insurance companies
Perform all functions required to build and evaluated models end to end including:
Data Preparation
External data research and acquisition
Data profiling and harmonization across carriers
Feature development
NLP/ML modeling
Model validation and interpretation
Business value assessment and product pricing analyses
Additional work assignments not related to specific project work such as new feature development, external data research, providing user feedback on new products and tools under development

Our take

Insurance is an age-old industry rooted in ancient technology. Despite the substantial power and revenue of these companies, their backend systems have become outdated, leading to rising relative costs. The challenge of modernizing such entrenched systems has been a significant hurdle for many insurers.

Guidewire is at the forefront of transforming Property and Casualty insurance by offering cutting-edge software solutions delivered via the cloud. The company is dedicated to evolving its offerings through close collaboration with its extensive customer base. This intimate engagement helps Guideire refine and enhance its cloud solutions to better meet the needs of it sclients.

Despite its successes in facilitating the cloud transition, the future may see the emergence of insurance providers built on entirely different infrastructures. Guidewire's ability to adapt and leverage its expertise and adapt will be crucial for maintaining its role as a leading technology provider.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

2% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (2 rounds)

Mar 2008

$0.8m

SERIES C

Sep 2007

$24m

SERIES C

Total funding: $24.8m

Company HQ

South San Mateo, San Mateo, CA

Leadership

Mike Rosenbaum

(CEO, not founder)

Prior to Guidewire, they led Product Management and Go-To-Market Strategy for core CRM products at Salesforce and served in the US Navy as a Submarine Officer.

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