Mercury Insurance is a company focused on helping people reduce risk and overcome unexpected events. They are seeking a Data Scientist to support analytical projects that identify business opportunities and develop solutions using data and statistical models. The role involves collaboration with cross-functional teams and requires strong data and programming skills.
The team member will work with various business departments to include UW, Claims, Marketing, and Advertising with understanding of business processes and business needs in these areas
Identify the right business sources related to the issues and opportunities, conduct project work as assigned and performs ad-hoc analyses using statistical and machine learning algorithms to help improve business processes and decision-making
Works independently with guidance and direction from advanced level data scientists and management
Participates in discussions with colleagues regarding analysis needs. Reviews and discusses analyses with colleagues and managers as necessary
Provide data support on projects and work closely with business on implementation through either analytical process or IT process
Create monitoring procedures and reports for projects implemented, and identify potential opportunities to improve accuracy and efficiency
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 and other and programming and MS Excel
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
Regular attendance at work on a full-time schedule of at least 8 hours and 40 hours per week
Other functions may be assigned
Qualification
Required
Bachelor's degree in math, statistics, computer science or other related areas
At least 2 years of experience in data mining and data/statistical analysis
At least 2 years experience with SQL and statistical software packages (Python, R, SAS)
At least 1 year experience working as a data scientist or similar role, with proven track record in data processing, predictive modeling, and machine learning techniques
At least 1 year of experience in insurance or financial service related fields
Demonstrated solid skills in data mining, machine learning, programming and optimization
Knowledge with cloud-based advanced data and analytics environment
Passion for problem-solving, comfort with ambiguity
Ability to think conceptually, analytically and creatively
Experience using R, Python and other programming languages
Strong data skills and the ability to work with large structured and unstructured data sources
Experience in predictive modeling, general model building, and validation procedures
Excellent problem-solving skills
Excellent analytical and critical thinking skills
Excellent written and verbal communication skills
Demonstrate Company's Core Values
Preferred
Master's Degree (or ACAS/FCAS)
Benefit
Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Mercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection.
