oracle
Senior Data Scientist
EXL
Remote, CAN
Senior · 5–8 years experience
Remote
Discovered Yesterday
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About the Role
Senior data scientist -- Insurance
Key Skills for This Role
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Responsibilities
- Technical & Solution Leadership
- Design, develop, and review machine learning solutions across insurance domains, including claims, underwriting, sales and marketing.
- Take ownership of:
- Feature engineering using large-scale insurance datasets
- Model selection, training, validation, and performance tuning
- Handling highly imbalanced datasets, weak labels, and proxy targets
- Translating business rules into ML features / hybrid rule-ML systems
- Ensure model explainability, stability, and governance aligned with insurance and regulatory expectations (e.g., interpretable ML, bias mitigation).
- Stakeholder & Program Collaboration
- Act as the client facing data scientist who manages client relationships
- Prepare demos and sprint review materials
- Translate high-level business problems into:
- Well-defined analytics use cases
- Modeling approaches and delivery plans
- Participate in:
- Architecture and solution design discussions
- Model walkthroughs with technical and business stakeholders
- UAT discussions and model acceptance criteria definition
- Communicate risks, dependencies, and delivery trade-offs early and clearly.
- Data, Platform & MLOps Alignment
- Work with data engineering and platform teams to:
- Shape analytical data models and feature stores
- Ensure production readiness of models
- Contribute to:
- MLOps design (model versioning, monitoring, retraining strategies)
- Deployment patterns on modern analytics platforms (e.g., cloud-based data & ML stacks)
- Ensure models meet enterprise standards for scalability, reliability, and auditability.
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