Data and Analytics Specialist (hybrid)

Náplň práce, právomoci a zodpovednosti:
About the Team

The Enabling Advanced Analytics team is part of Business Operations and Enablement 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.

Zamestnanecké výhody, benefity:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Požiadavky na zamestnanca:
About You

Technical Skills

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.