Senior Data Scientist at Verikai

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurtech, InsuranceIndustries

Requirements

Analytical skills
Data analysis experience
Machine learning knowledge
Ability to work with large datasets
Strong communication and presentation skills
Ability to learn and apply new data tools

Responsibilities

Innovate and implement cutting-edge machine learning algorithms to extract greater value from data and enhance customer insights
Proactively seek out and identify useful attributes from various data sources to improve core data assets
Conduct thorough descriptive and statistical analyses on customer data to uncover valuable patterns and insights
Rigorously validate the utility and relevance of new data to ensure it contributes to model and insight improvement
Present results, findings, and models to customers and stakeholders with technical expertise and industry knowledge
Manipulate and improve our cutting-edge machine learning platform to build insightful operational models
Contribute to building up our analytics process and infrastructure, working closely with all aspects of the business

Skills

Machine Learning

Predictive Analytics

Statistical Analysis

Data Analysis

Model Validation

Data Manipulation

Algorithm Development

Large Datasets

Data Tools

Verikai

Predictive data platform for insurance underwriting

About Verikai

Verikai provides a predictive data and risk platform specifically designed for the insurance industry. The platform uses AI-powered machine learning to generate Capture scores, which offer insights into the behaviors of millions of individuals. These insights help insurance companies make more accurate risk assessments, leading to improved underwriting precision and efficiency. Unlike many competitors, Verikai focuses solely on the insurance sector, tailoring its services to meet the unique needs of insurers. The company's goal is to enhance risk evaluation processes for its clients, ultimately driving profitable growth through a subscription-based service that ensures consistent value and revenue.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$5.8MTotal Funding

ACQUISITIONCompany Stage

AI & Machine Learning, Financial ServicesIndustries

11-50Employees