Make more Creative Job Post Content< Senior Data Scientist
- Responsibilities:
Cybersecurity is the #1 threat to U.S. national security, and Guidewire Cyence is leading the charge to combat it with cutting-edge technology. We’re on a mission to revolutionize the cyber-insurance landscape through our industry-leading cyber risk platform, combining data science, machine learning, and innovative engineering to tackle critical challenges head-on.
We’re seeking a Senior Data Scientist to be a driving force in the end-to-end lifecycle of building models that empower the insurance industry to mitigate risks, protect businesses, and create a safer digital ecosystem.
Who We Are
Guidewire is the AWS of insurance. Trusted by over 540 insurers across 40 countries, our platform is the backbone of modern insurance operations. From cyber risk quantification to robust ML sandboxes, we’re reshaping how decisions are made. As a post-IPO market leader, we offer the resources and scale of a global company with the agility of a startup.
What You’ll Do
- Lead Risk Modeling: Design, validate, and deploy probabilistic cyber risk models to quantify financial impacts for individual entities and large portfolios in the (re)insurance and financial sectors.
- Innovate End-to-End: Build robust modeling pipelines that integrate AWS Glue, Airflow, and SageMaker for production-ready deployment.
- Uncover Insights: Explore diverse datasets to engineer features and assumptions that enhance risk models, including unstructured and semi-structured data.
- Develop Visual Tools: Create interactive and insightful tools to visualize the potential impacts of cyber events for clients and stakeholders.
- Collaborate Deeply: Work with product managers, engineers, and domain experts to design innovative solutions and communicate results effectively to clients.
- Shape Best Practices: Define globally consistent methodologies for data validation, feature selection, and catastrophe exposure modeling.
What You Bring
- Academic Excellence: PhD or MS in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields.
- Technical Mastery:
- Extensive experience in Python (pandas, pyspark, Scikit-learn, statsmodels, XGBoost) and SQL for data manipulation and machine learning.
- Proficiency with AWS tools (S3, EC2, Athena, Redshift) and pipelines powered by Airflow, Glue, and SageMaker.
- Expertise in statistical data analysis, feature engineering, and predictive modeling.
- Full-Stack Data Science: Experience building, deploying, and maintaining end-to-end modeling pipelines with a focus on scalability and automation.
- Communication Skills: Ability to translate complex technical insights into actionable strategies for stakeholders, clients, and cross-functional teams.
- Problem-Solving Mindset: A passion for tackling tough challenges in dynamic environments and a drive to pick up new tools and domain expertise.
- Leadership & Mentorship: Enthusiasm for guiding and inspiring teams of world-class colleagues while fostering innovation.
Preferred Experience
- Hands-on experience with catastrophe modeling or similar fields.
- Familiarity with cyber risk quantification and the financial impacts of cybersecurity threats.
- Experience operationalizing ML models with MLOps frameworks.
- Working knowledge of GenAI models, LLM frameworks, and tools.
Why You’ll Love Working at Guidewire Cyence
A Meaningful Mission
Be part of a team driving real-world impact in cybersecurity, a critical global challenge. Your work will help protect businesses, reduce financial uncertainty, and create a safer digital economy.
Competitive Benefits
- Base salary range: $116,000 - $212,000 (plus bonus, equity, and benefits).
- Flexible working arrangements to support work-life balance.
- Career development opportunities with the market leader in insurance innovation.
