Overview
On Site
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
100% Travel
Skills
Flask
Python
BI Reports / Data Visualization Testing
GenAI - LLMOps
Statistics-Data Science
Machine Learning Algorithms
Deep Learning Algorithms
Natural Language Processing - AIOPS
Django
Keras Good to Have Skills : Natural Language Processing - AIOPS
Job Details
Role Overview
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 modelling 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 Scikitlearn SQL
Statistical Modelling 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 CICD pipelines
Exposure to regulatory frameworks Solvency II IFRS 17
Soft Skills
Strong problemsolving 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
Qualifying Questions
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
Mandatory Skills : Flask,Python,BI Reports / Data Visualization Testing,GenAI - LLMOps,Statistics-Data Science,Machine Learning Algorithms,Deep Learning Algorithms,Natural Language Processing - AIOPS,Django,Keras
Good to Have Skills : Natural Language Processing - AIOPS
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.