We're looking for a Senior Data Scientist to join our team in Jersey City, NJ.

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For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice

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We're looking for a Senior Data Scientist to join our team in Jersey City, NJ.

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• Knowledge in and applied experience with statistical and machine learning.
• Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline.
• Logical, evidence-based problem solving and critical thinking skills.
• Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SQL).
• Working familiarity with cloud computing environments.
• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
• Master's degree plus 24 months of experience.

Preferred qualifications:

• Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
• Experience with any of the following considered a plus: creating unit tests in python, GitLab CI/CD pipelines, working with ETL pipelines.

#LI-ZP1

#LI-Hybrid

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• Knowledge in and applied experience with statistical and machine learning.
• Skilled with feature engineering, model selection, and assessment methodologies, and familiarity with all stages of the data science pipeline.
• Logical, evidence-based problem solving and critical thinking skills.
• Applied, practical experience using statistical and machine learning computer languages (e.g. R, Python, SQL).
• Working familiarity with cloud computing environments.
• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
• Master's degree plus 24 months of experience.

Preferred qualifications:

• Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
• Experience with any of the following considered a plus: creating unit tests in python, GitLab CI/CD pipelines, working with ETL pipelines.

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• Under supervision, participates in the development and execution of analysis project plans for timely project completion. May contribute to project hypothesis and goal setting.
• Utilizes statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
• Ensures statistical, computational, and algorithmic validity of results.
• Performs analyses of structured and unstructured data to solve multiple and complex business problems, utilizing advanced statistical, mathematical and machine learning technique.
• Ability to keep up to date with emerging methods and environments.
• Work with other technical teams and business units for R&D development, and delivery of solution(s).
Provides required support for project delivery and implementation.
• Creates clear and easy to understand documents for product support (technical).
• Presents analysis ideas, progress reports and results to internal managers, project managers.
• Collaborates with Lead or Principal Data Scientist to develop technical approaches and new or enhanced technical tools.
• Completes all responsibilities as outlined on annual Performance Plan.
• Completes all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.