AI ML Engineer

Charlotte - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

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

Technical Skills Primary

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

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

Skills

Mandatory Skills : AI/GenAI Research

Required Skills : AI

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

Job descriptionWe 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...

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

Technical Skills Primary

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

Technical Skills Secondary Nice to Have NOT MANDATORY