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Manager, Data Science

Company: Verisk Analytics, Inc.
Location: Hartford
Posted on: May 5, 2021

Job Description:

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. Its the reason Verisk is part of the UN Global Compact sustainability initiative. Its why we made a commitment to balancing 100 percent of our carbon emissions. Its the aim of our returnship program for experienced professionals rejoining the workforce after time away. And, its 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 fifth consecutive year. Weve been recognized by Forbes as a Worlds 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. Verisks 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. Job Description Serve as the lead technical resource in the conception and development of new predictive modeling initiatives. Mentor and train junior level analysts o Manage multiple projects or work streams through all the cycles of the analytical continuum of descriptive, diagnostic, predictive and prescriptive analytics. o Act as the resident subject matter expert in developing innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as creating design requirements and project timelineo Act as the resident subject matter expert in developing innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as creating design requirements and project timelineo Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resourceso Serve as an enterprise innovation leader on data munging, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasetso Serve as the leader in model development and validation analyses - from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staffo Lead the development and execution of methods to address needed business diagnostics; review, and aid productization and deploymento Provide significant input to senior leadership team and Product Management on process improvement, implementation specifications and production testingo Act as a leader to develop process and metrics to monitor model performanceo Review reports and make recommendations for needed model refits / enhancements Provide significant input to Senior Management Team and Product Management on implementation specifications and production testing Manages staff including goal setting, performance evaluation, effective resource allocation and career/skill development, hiring and training Research literature to stay current on technical methods to solve specific problems Qualifications Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline 6+ years professional experience building predictive and descriptive models Exposure to the property & casualty industry is highly desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a plus Prior people management experience preferred. Ability to lead complex projects from model design to deployment Extensive experience working with large datasets Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.). Experience with Network Analytics preferred. Ability to program and review code in Python, Spark, Scala, R, or SAS is highly desirable Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable Additional Information 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. 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.

Keywords: Verisk Analytics, Inc., Hartford , Manager, Data Science, Executive , Hartford, Connecticut

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