Data Scientist at Verikai

California, United States

Verikai Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Insurtech, Data ScienceIndustries

Requirements

Candidates should possess a Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and ideally, a Master’s degree. They should have at least three years of experience in data science, machine learning, or a related area, demonstrating a strong understanding of statistical modeling and data analysis techniques. Experience with Python and SQL is also required, along with familiarity with cloud computing platforms.

Responsibilities

As a Data Scientist at Verikai, you will innovate and implement cutting-edge machine learning algorithms to extract greater value from customer data, proactively seek out and identify useful attributes from various data sources, conduct thorough descriptive and statistical analyses, present results and findings to customers and stakeholders, and act as a technical expert and industry insider to support business decision-making processes.

Skills

Data analysis
Machine learning
Data mining
Statistical analysis
Communication
Presentation
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

Risks

Increased competition from other AI-driven insurance technology firms.
Data privacy regulations may impact data collection and utilization.
Economic downturns could reduce insurance companies' spending on new technologies.

Differentiation

Verikai uses AI and machine learning for precise insurance risk assessments.
CaptureHealth and Capture360 offer comprehensive health risk analysis with SDoH factors.
Verikai's subscription model ensures steady revenue and client value.

Upsides

Growing demand for AI-driven underwriting boosts Verikai's market potential.
CaptureHealth and Capture360 address comprehensive healthcare risk analysis needs.
Acquisition by American Financial Group enhances resources and market reach.

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