Description
Ready for a new challenge? Join Guidewire as a Data Scientist and ML Engineer! 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.
Responsibilities:
- 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
- Build ML automation to accelerate end to end process of creating models
- Additional work such as new feature development, external data research, providing user feedback on new products and tools under development
Qualifications:
- Masters or Ph.D, or equivalent level of demonstrable professional competency.
- Experience developing model pipelines using AWS Sagemaker
- Expert Python and SQL skills
- 5+ years of experience in a similar role in the US or Canadian P&C industry
- Experience with P&C policy administration and claims processing concepts
- Strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.
- Data engineering experience with SQL, Spark or AWS Glue.
- Experience using TeamCity and Terraform for infrastructure setup and CI/CD.
- Experience using Docker or Kubernetes to deploy containerized applications.
- Experience conducting code reviews and being a coach and mentor to other developers.
- Practiced in ML Ops best practices for model development, deployment and monitoring.
- Experience using statistical learning algorithms such as GLM and catBoost to solve real world business 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
#LI_Remote
#LI-PN1
#feature
#datascientist #machinelearning #predictiveanalytics #propertyandcasualty
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 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, 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.
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