Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- Senior Data Scientist developing predictive models and collaborating with business teams in insurance. Engaging in model development phases and communicating insights with various stakeholders.
Responsibilities
- Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring.
- Engage in the development and enhancement of predictive models — while thoughtfully assessing alternative approaches and techniques to support loss, territory/Geography, and emerging claim level modeling needs.
- Partner with Data Engineering and MLOps teams to support deployment and monitoring.
- Partner with Actuarial, Underwriting, Product, Data Engineering, and Governance teams to align modeling work with business strategies.
- Communicate findings clearly to technical and non-technical audiences.
- Explore new modeling methods, data sources, and tools.
- Provide peer learning, code reviews, and technical guidance.
- Support continuous improvement of modeling standards.
Requirements
- 5+ years experience developing statistical or ML models.
- Master’s/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field.
- Strong Python and SQL skills; experience with Git and cloud ML environments.
- Ability to collaborate across functions and communicate insights effectively.
Benefits
- Engage in high-visibility enterprise modeling initiatives.
- Work with modern analytical tools, ML, and generative AI.
- Work at the intersection of Data Science and Actuarial Science, partnering closely with diverse technical and business teams.
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