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You will be updated with latest job alerts via emailSr Data Scientist
Charlotte NC / Phoenix AZ / NYC (5 days onsite) look only local
12-15 years of profile needed
Job Description:
Role Overview
We are seeking a highly analytical and detail-oriented Data Scientist to join our team in the reinsurance domain. The ideal candidate will leverage data to drive insights into risk modeling pricing strategies claims analysis and portfolio optimization. This role requires strong technical expertise business acumen and the ability to communicate complex findings clearly.
Technical Skills
Primary:
- Programming Languages: Python Pandas NumPy Scikit-learn SQL
- Statistical Modeling: Machine Learning Regression Classification Clustering Time Series Forecasting
- Data Visualization: Power BI Tableau Matplotlib Seaborn
- Big Data Technologies: Spark Hadoop (basic understanding)
- Cloud Platforms: Azure or AWS (especially for data pipelines and model deployment)
- Data Engineering: ETL processes data wrangling and feature engineering
- Insurance/Reinsurance Domain Knowledge: Exposure to actuarial models risk assessment and claims analytics
Technical Skills
Secondary (Nice to Have NOT MANDATORY):
- R or SAS for statistical analysis
- Experience with Natural Language Processing (NLP)
- Familiarity with geospatial data and mapping tools
- Knowledge of Monte Carlo simulations and stochastic modeling
- Experience with Git and CI/CD pipelines
- Exposure to regulatory frameworks: Solvency II IFRS 17
Soft Skills:
- Strong problem-solving and critical thinking abilities
- Excellent communication and storytelling skills for non-technical stakeholders
- Collaborative mindset with cross-functional teams (actuarial underwriting IT)
- Ability to manage multiple projects and prioritize effectively
- Curiosity and continuous learning attitude
- High attention to detail and data integrity
Full-time