ISO, a Verisk business, has been a leading source of information about property/casualty insurance risk since 1971. For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. ISO serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. To learn more about ISO please visit us at:  www.verisk.com/iso. We are proud to be a part of the Verisk family of companies! 

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fourth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

· Leads a team of diverse team of data scientists.

· Coaches team members and manages team development.

· Engages in knowledge transfer to team members.

· Partners with internal teams (e.g. data engineering, development teams).

· Partner with project managers, directors, and other internal project leaders.

· Execute and monitor project plans for timely project completion; supporting all

stages of the analytic pipeline.

· Actively supports innovation, and the integration of new methods and technologies.

· Supports and/or tests new methodologies, software and data sources for continual

improvement of quantitative solutions.

· Supports and/or implements techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.

· Utilizes statistical, mathematical, and machine learning theory and methodologies to design analytic architecture and solutions.

· Supports and/or participates in the creation of lucid documentation and reports (technical and non-technical) for internal and external clients.

· Presents analysis ideas, progress reports and results to internal managers, project owners, and executives. 

· 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.

· Minimum 7 years of insurance experience, focusing on the personal lines.

· Team-oriented with a track record of building strong internal and external unit partnerships.

· Experience leading cross-functional projects using advanced data analysis techniques.

· Strong logical and evidence-based problem solving. Critical thinking skills that support innovative,

creative solutions.

· Proficient across the stages of the data analytic pipeline, from ETL to results communication, supporting

knowledge transfer for team growth.

· Breadth and/or depth in the areas of feature engineering and selection methodologies, and machine

learning methodologies.

· Experience using programming, statistical, or machine learning languages.

· Experience with the management of large, complex datasets.

· Excellent verbal and written communication, and presentation skills (technical and non-technical).

Preferred:

· Graduate-level degree with concentration in a quantitative discipline such as business analytics,

economics, statistics, mathematics, operations research, or aligned discipline.

· Insurance and analytics experience with a carrier.

· Experience with R or Python.

· Experience with cloud computing environments (e.g. AWS)

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Verisk Analytics is an equal opportunity employer.

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.

http://www.verisk.com/careers.html

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