Data Scientist – Insurance Analytics
Role Summary
We are seeking a Senior Data Scientist (6–7 years of experience) to support an analytics initiative focused on the insurance domain. This is a client facing role requiring strong analytical expertise, hands-on modeling experience and the ability to independently drive analysis, present insights and collaborate with stakeholders.
The ideal candidate will have a solid foundation in statistical modeling and hypothesis testing, deep experience in tree-based and ensemble machine learning models, exposure to cloud-based data platforms and working knowledge of modern Generative AI and Large Language Model (LLM) techniques relevant to insurance analytics.
Key Responsibilities
Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing to identify fraud patterns and anomalies.
Build, evaluate, and optimize traditional statistical models as well as tree-based ML models such as Random Forest, XGBoost, Cat Boost, and Light GBM.
Explore and apply LLM based approaches (e.g. text classification, summarization,



entity extraction) for leveraging unstructured data such as claim notes, adjuster comments and documents.
Develop Gen AI powered accelerators for documentation, feature ideation, data enrichment and model insight generation.
Independently conduct data analysis, research, model experimentation and translate findings into actionable insights.
Write clean, efficient and production ready code using Python and SQL.
Work extensively with large datasets using cloud platforms, primarily Google Cloud Platform (GCP).
Query and manage data using Big Query and datasets stored in Cloud Storage (Buckets).
Use Git for version control, collaboration and code review.
Prepare explicit, concise and impactful presentations for clients, explaining analytical findings to both technical and nontechnical stakeholders.
Collaborate with business, data engineering, and client teams to ensure models align with investigation strateg

📌 Data scientist (Delhi)
🏢 Crescendo Global
📍 Delhi