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Data Scientist, Claims

Salary

$0.103k - $0.195k

Min Experience

2 years

Location

California, United States

JobType

full-time

About the role

The Data Scientist in Claims will support analytical projects by identifying business opportunities, answering questions, and developing solutions using data and statistical models. The role involves collaboration with cross-functional teams to improve business processes and decision-making through data analysis. Understand data sources from different applications and data infrastructure. Retrieves large amount of structured or unstructured data from various sources and apply advanced data manipulation techniques to prepare data for analysis. Reviews data for accuracy and optimizes methods of data retrieval when necessary. Create, maintain and improve dynamic reports, graphs and charts through dashboard, programming, and other. Create procedures to streamline analysis procedures. Establish automated procedures to help reduce cost and improve efficiency. Answer questions and conduct ad hoc analysis from business on related reports. Communicates proactively, clear and consistently with SMEs, EBI, IT, and Management in the various functional areas in order to understand each job function. Through this communication, the employee will be expected to increase the breadth of his/her understanding of the processes associated with these functions, and of the various KPI's that drive business results in each area and overall. Creates presentations breaking down problems identified, potential solutions. Actively participates in meetings with to present findings and recommendations. Team member should have a strong background in creating and explaining meaningful graphs and be skilled at assembling and presenting PowerPoint presentations.

About the company

Mercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection.

Skills

data analysis
sql
python
machine learning
r
sas
data mining
predictive modeling
data manipulation
cloud-based analytics
powerpoint presentations