Advanced Analytics Specialist

About The Team

The Enabling Advanced Analytics team is part of Business Excellence within P&C Re Operations. The team is responsible for developing and maintaining the 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 work on solving high-priority business problems using data-driven approaches and advanced analytics. This role is based in Bangalore and 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 exploratory PoCs to robust, production-ready capabilities with measurable business impact.

Key Responsibilities

• Translate business needs into well-defined analytical problem statements and 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 with business and IT team
• Identify data 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 in quantitative field (STEM, Economics, Statistics, Engineering, or similar).
• Minimum 8 years of hands-on experience in building data science solutions.
• Strong foundation in statistics and probability.
• Strong practical expertise in classical machine learning techniques, such as parametric algorithms (linear/logistic regression), ensemble methods (decision trees, random forests, XGBoost/LightGBM), clustering (k-means, hierarchical clustering), and dimensionality 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).
• Proficiency in 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.
  
  

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords

Reference Code: 136414

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