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## Responsibilities
- Deliver value through data-driven algorithms and models: You will apply the right mix of ML and AI to solve high-impact business problems. You’ll partner with stakeholders to select and defend the best model architecture and explainability approaches to balance performance, interpretability, and trade-offs.
- Embed ML/AI into core business capabilities: You will build deep expertise in P&C insurance workflows and translate that knowledge into practical ML/AI-powered analyses, decision tools, and visualizations that improve how work gets done.
- Partner with stakeholders to ensure adoption, value, and model integrity: You’ll align with stakeholders on goals and success metrics, then pressure-test solutions against real constraints to ensure they’re feasible and valuable. You will communicate your insights and recommendations with clarity and confidence to both technical and non-technical audiences.
- Invest in Your Future: We're committed to your professional development. You'll engage in project-specific research to continually grow your skills and have the unique opportunity to collaborate with our Claims and Finance departments.
## Requirements
- Master's or PhD in a quantitative field (Statistics, CS, Mathematics, Actuarial Science, Economics, or similar)
- 5+ years building and deploying ML/AI models in production
- Strong hands-on experience with both classical ML (GLMs, LightGBM, XGBoost etc) and modern NLP (BERT, embeddings, LLMs, Hugging Face, RAG) for modelling both structured and unstructured datasets (tabular, text, document and images)
- Strong Python & SQL skills and familiarity with cloud/ML platforms (Databricks, Azure)
- Experience with model governance, MLOps, performance monitoring.
- Prior experience in P&C insurance—pricing, claims, underwriting, or fraud—is strongly preferred
- Excellent analytical, quantitative, and critical thinking skills. Strong business judgment for choosing the simplest model that solves the problem—and knowing when to reach for more sophisticated approaches.
- Outstanding communication and collaboration skills to engage stakeholders, frame ambiguous problems, and translate technical results into business decisions.
## Nice to Have
- None specified
## Benefits
- Comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.
- Potential for discretionary bonus program based on business performance and individual goals.
- Hybrid work arrangement available.
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