Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Sr. Data Scientist at Numeral building intelligence solutions for automated and accurate compliance. Collaborating with teams to develop and deploy scalable data models impacting business growth.
Responsibilities
- Build and deploy data models and algorithms that improve tax accuracy, anomaly detection, and operational efficiency.
- Develop risk, quality, and confidence scoring across filings, transactions, and customer data.
- Partner closely with Operations, Product and Engineering, to productionize models and integrate them into core workflows.
- Design experiments and analyses to inform product decisions, automation strategies, and prioritization.
- Identify patterns in large, messy, multi-source datasets (e.g., payments, e-commerce, filings, customer behavior).
- Improve data reliability and observability across pipelines used by analytics, ops, and ML systems.
- Collaborate with Data Analysts and Ops teams to translate operational pain points into scalable, data-driven solutions.
- Help define Numeral’s long-term data science and ML roadmap.
Requirements
- 5+ years of experience in Data Science, Applied ML, or advanced Analytics.
- Strong proficiency in Python and SQL.
- Experience building and shipping models or data products used in production.
- Solid grounding in statistics, experimentation, and data modeling.
- Ability to reason through ambiguity and design solutions from first principles.
- Strong communication skills - able to explain complex ideas clearly to technical and non-technical partners.
- Comfort working in a fast-paced startup environment with real ownership and minimal process.
Benefits
- Offers Equity
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