Senior Data Scientist
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Key skills for this role
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
- 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).
2. Stakeholder & Program Collaboration
Act as the client facing data scientist who manages client relationships Prepare demos and sprint review materials
Prepare demos and sprint review materials
Translate high-level business problems into: Well-defined analytics use cases Modeling approaches and delivery plans
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
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.
3. Data, Platform & MLOps Alignment
Work with data engineering and platform teams to: Shape analytical data models and feature stores Ensure production readiness of models
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)
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.
Experience & Domain
5 – 8 years of experience in advanced analytics / data science
Insurance domain experience (P&C, Life, Health, Group Benefits, or Claims) strongly preferred.
Proven experience delivering end-to-end ML solutions in production environments
Technical Skills
- Strong hands-on experience in: Python (pandas, scikit-learn, XGBoost / LightGBM, etc.) Statistical modeling and ML algorithms (classification, regression, segmentation)
- Python (pandas, scikit-learn, XGBoost / LightGBM, etc.)
- Statistical modeling and ML algorithms (classification, regression, segmentation)
- Deep understanding of: Feature engineering on transactional / behavioral data Imbalanced classification techniques Model evaluation, stability, and drift monitoring
- Feature engineering on transactional / behavioral data
- Imbalanced classification techniques
- Model evaluation, stability, and drift monitoring
- Experience working with SQL and large-scale datasets.
- Familiarity with modern ML platforms, cloud data environments, or analytics fabrics is a plus.
Stakeholder Management & Communication
Experience working with offshore or distributed data science teams.
Strong story telling skills to explain complex analytical concepts to: Non-technical stakeholders Onsite leadership and clients
Non-technical stakeholders
Onsite leadership and clients
Comfortable working across time zones and in a matrix delivery model.
Preferred / Nice-to-Have
Exposure to: Model governance and regulatory expectations Explainable AI (XAI) techniques MLOps pipelines and CI/CD for analytics
Model governance and regulatory expectations
Explainable AI (XAI) techniques
MLOps pipelines and CI/CD for analytics
About EXL Service
Global data analytics, AI, and digital operations solutions company.
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