Verisk is hiring an early-career Data Scientist to develop analytics products for insurance claims and underwriting. The role involves exploring insurance data, building and evaluating predictive models, contributing to AI workflows, and translating business problems into practical analytical solutions.
Support the development of new analytics products for insurance claims and underwriting
Explore complex datasets and turn them into meaningful insights, including data processing, cleaning, joining multiple data sources, feature engineering, analysis, and interpretation
Build and compare predictive models using techniques such as GLMs, gradient boosting, Random Forests, and neural networks
Identify the features and factors that provide meaningful predictive value and understand how they influence model performance
Help create, test, and monitor agentic AI workflows that are traceable, repeatable, and suitable for real-world use
Work with stakeholders to understand requirements and translate business problems into practical analytical solutions
Write clear, reusable, and well-documented code, using version control and creating functions and templates that can be applied efficiently to future projects
Communicate analytical approaches, progress, findings, and recommendations clearly to both technical and non-technical colleagues
Take part in peer reviews, sharing ideas and learning from colleagues while contributing to consistently high-quality work
Qualification
Required
A bachelor's, master's, or PhD in mathematics, statistics, data science, computer science, another scientific discipline, or a related analytical field
Solid programming skills, ideally using Python and SQL
Experience working with data, including manipulation, cleaning, validation, and analysis
Exposure to statistical modeling, machine learning, or other predictive techniques
Strong logical and problem-solving skills, with the ability to approach complex questions in a structured way
Good attention to detail and an interest in producing reliable, reproducible analytical work
Clear written and verbal communication skills, including the ability to explain technical work to different audiences
A collaborative approach and willingness to learn from, and contribute to, the wider team
Preferred
Benefit
Hybrid work arrangement
Short-term incentive
Medical coverage
Life insurance
Pension plans
Paid time off in line with local labor laws
Wellness initiatives
Fitness programs
Team-building activities
Verisk Analytics is a data analytics and risk assessment firm for the insurance sector.
