Data Scientist

As a Data Scientist, you will have opportunity to work with one of the richest data sets around, and see your insights turned into execution. You will have the opportunity of joining a team working on some challenging and fascinating problems in a data rich environment.



The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making.

Responsibilities:

• Data Analytics: 50%, Data transformation and visualization: 30%, Data Architecture: 20%

• Gather, structure and operate complex data inputs from multiple Big Data sources, both internally and externally

• Perform predictive analytics and financial modeling to make coverage investment decisions

• Perform ad hoc data mining and statistical analyses on coverage related complex business problems

• Develop and run data queries from various (reporting) tools to gain insight on coverage and distribution risks

• Research and work with technical teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions

• Own & Manage big data and analytics platform for team (IT teams will build them)

• Work with Business & Engineering resources to define analytics and platform requirements and translate to technical requirements