Senior Pricing Data Scientist optimizing pricing strategy at Sabadell Zurich. Leading GLM model development and collaborating with Product and Claims teams.
About the role
- Data Scientist / Engineer developing and implementing AI solutions for insurance clients. Contributing to fraud detection and automation in a hybrid work environment.
Responsibilities
- Actively contribute to the US Subrogation roadmap and clients
- Implementation of the data engineering from client extracts to data stores (SQL, ElasticSearch)
- Developing, testing, tuning models and putting them in production for tasks like fraud detection
- Automate key business tasks by implementing them in C# production process
- Conduct meetings with clients and interact with external stakeholders
Requirements
- 1-2 years of experience with diverse skills
- Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users
- AI-savvy, either by having a degree in machine learning and/or statistics
- Client facing; comfortable and open to communicating to clients regularly
- Business smart; interested in learning and mastering the business aspects of products
Benefits
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
- Generous PTO and paid holidays
- Mental health benefits
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
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