Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
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.
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.
Predictive data platform for insurance underwriting
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.