J
Data Scientist - Reinsurance Risk Modeling and Analytics
Visa Sponsorship
AI Summary
Seeking a detail-oriented data scientist to analyze and model risk, pricing, claims, and portfolio strategies in reinsurance. The role combines technical expertise, business insights, and clear communication for stakeholder engagement. The candidate will work with big data, cloud platforms, and advanced analytics techniques in a hybrid Dallas-based environment.
Key Highlights
Focus on risk modeling, pricing strategies, claims analysis, and portfolio optimization in reinsurance.
Requires strong technical skills in Python, SQL, machine learning, data visualization, and cloud platforms.
Collaborative role involving communication with nontechnical stakeholders and cross-functional teams.
Technical Skills Required
Benefits & Perks
Compensation depends on experience
Hybrid work environment in Dallas, Texas
Opportunity to work with advanced analytics and big data in the insurance domain
Job Description
Job Category: Engineer
Job Type: Hybrid
Job Location: Dallas Texas
Compensation: Depends on Experience
W2: W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role.
Job Description
Job Description:
- We are seeking a highly analytical and detailoriented 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
- Programming Languages Python Pandas NumPy Scikitlearn 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
- InsuranceReinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics
- 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 CICD pipelines
- Exposure to regulatory frameworks Solvency II IFRS 17
- Strong problem solving and critical thinking abilities
- Excellent communication and storytelling skills for nontechnical stakeholders
- Collaborative mindset with crossfunctional teams actuarial underwriting IT
- Ability to manage multiple projects and prioritize effectively
- Curiosity and continuous learning attitude
- High attention to detail and data integrity
Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain
How do you ensure the quality and reliability of your data before building models
Have you worked with actuarial teams or underwriting departments before If yes how did you contribute to their decisionmaking process
Skills
Mandatory Skills : AI/GenAI Research
Apply Online
Your Name *
Your Phone Number *
Your Email Address *
Job Id *
JPS-4895
What is your current visa status? *
Select
Enter Other Valid Visa
W2 or C2C *
Select
Where are you currently located at? *
How many years of relevant experience you have? *
Do you require h1b sponsorship? *
Select
Upload Resume *
Choose a file
No file chosen.
Facebook X LinkedIn WhatsApp
Similar Jobs
Explore other opportunities that match your interests
Staff Machine Learning Engineer - AI Agent Platform
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
GEICO
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Mid-Senior level
Bright Vision Technologies
United State
Senior Staff Applied Research Scientist
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
GEICO
United State