Advanced Analytics Specialist

About the Team

The Enabling Advanced Analytics team is part of Business Excellence within P&C Re Operations. The teamis responsible fordeveloping andmaintainingthe P&C Re Operations analytics landscape, supporting functions such as Underwriting Operations, Technical Accounting & Claims Operations, Claims Management, In-force Management, and Client Audit.

We generate actionable business insights by applying advanced analytics, automation, and AI-driven solutions, and act as a bridge between business and IT.

About the Role

Looking for a Senior Data Scientist to workon solving high-priority business problems using data-driven approaches and advanced analytics.This role is based inBangaloreand will work closely with the Advanced Analytics Lead, team members, IT/D&T, and senior business stakeholders.

You will independently own and deliver complex analytics initiatives end-to-end, contribute to the evolution of our analytics and AI platform, and help scale solutions from exploratoryPoCsto robust, production-ready capabilities with measurable business impact.

Key Responsibilities

• Translate business needs intowell-defined analytical problem statementsand develop data-driven solutions.

• Apply statistical, algorithmic, data mining, and visualization techniques to generate business insights.

• Deliver end-to-end data science solutions, from PoC development to production deployment, working closely withbusinessand IT team

• Identifydata gaps and propose improvements to the data collection processes.

• Take ownership of projects, manage stakeholders effectively, and deliver innovative solutions.

About You

Technical Skills

• Master's degree inquantitativefield (STEM, Economics, Statistics, Engineering, or similar).

• Minimum 8years of hands-on experience inbuildingdata sciencesolutions.

• Strong foundationin statistics and probability.

• Strong practicalexpertisein classical machine learning techniques,such asparametricalgorithms (linear/logistic regression), ensemble methods (decision trees,random forests,XGBoost/LightGBM), clustering (k-means, hierarchical clustering), anddimensionality reduction (PCA), with experience in feature engineering, hyperparameter tuning, and model evaluation.

• Hands-on experience with NLP and applied Generative AI use cases (e.g., LLMs, prompt engineering, RAG).

• Proficiencyin Python and Spark (PySpark) experience with common ML/AI libraries.

• Preferred: SQL,Python, Power BI insurance/reinsurance domain exposure.

Soft Skills

• Clear and concise communicator (written and verbal), able to tailor communication to technical and non-technical audiences.

• Strong problem-solver with a consulting mindset and the ability to work effectively with ambiguity.

• Comfortable operating in a matrix organization and influencing stakeholders without formal authority.