Data Scientist - Insurance

The Data Science team focuses on the following data-driven insurance industry use cases including but not limited to:

- Reporting & Business Intelligence on product and wholesaler performance

- Anomaly & Pattern Detection for fraud investigation

- Predictive modeling to forecast future product sales and sales rep performance

- An exploratory analysis for product design recommendations

- Calculation of insurance premiums and broker fees

- Text mining to determine policy coverage

Qualifications:

- Masters or Doctorate in a quantitative field (Math, Statistics, Operations Research, Engineering etc.)

- Minimum of 2-3 years of experience as a data scientist/analytics consultant

- High proficiency in classical statistical and mathematical modeling methods is required

- Experience working with large complex structured and unstructured data sets

- Programming proficiency in at least one statistical tool language such as R or Python

- Proven proficiency in delivering technical results to key stakeholders

- Must be a team player, with good written and verbal English skills

- Possess the ability to think critically and understand business requirements

- Insurance industry experience is a plus but not required

- Ability to work independently in a remote setting

Responsibilities:

Join a small worldwide team of data science experts to deliver data science and machine learning solutions to insurance industry clients based in the US