Key Responsibilities

- Prepare, cleanse, and validate datasets required for customer implementation.
- Define and maintain test datasets, ground truth data, and validation benchmarks.
- Validate extraction outputs, redaction results, policy comparisons, and data quality assessments.
- Support customer data onboarding, data mapping, and migration validation activities.
- Perform data profiling, reconciliation, and quality analysis.
- Collaborate with Configurators to validate extraction rules, business rules, and decision logic.
- Work with QA teams to develop data-driven test scenarios and validation approaches.
- Analyze AI model outputs and identify data quality or configuration issues.
- Create validation reports, accuracy metrics, and implementation quality dashboards.
- Contribute to best practices for data quality, validation, and AI implementation governance.

Required Skills & Experience

- Bachelor's degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or related field.
- 810 years of experience in data analysis, data validation,



quality assurance, AI operations, or implementation projects.
- Strong experience in the Property & Casualty (P&C;) Insurance domain
- Experience with Intelligent Document Processing (IDP), OCR, data extraction, document classification, or AI-enabled automation solutions.
- Robust understanding of data quality, data profiling, validation, and reconciliation techniques.
- Experience working with structured and unstructured data.
- Experience preparing test datasets, validation datasets, and business data models.
- Understanding of extraction accuracy metrics, false positives, false negatives, and validation methodologies.
- Proficiency in SQL and data analysis tools.
- Strong analytical and problem-solving skills.
- Ability to interpret business requirements and translate them into data validation approaches.
- Proven experience working with insurance carriers and clients across North America or Europe.

📌 AI & Data Validation Engineer (Noida)
🏢 Crescendo Global Leadership Hiring India
📍 Noida