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 fifth 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.  

Overview of the Position 

You will support high visibility, high priority, big data projects that have significant revenue potential with a focus on automation, data cleaning, merging, and advanced feature engineering to create model ready datasets. 

You will play an integral role by transforming large highly complex data (of varying quality) into highly usable datasets.  As a Data Scientist, you will be tasked with synthesizing creative solutions to non-trivial problems such as creating complex matching algorithms to join disparate data sources, backfilling missing data, engineering high quality features, and identifying then resolving computational inefficiencies by utilizing current generation big data techniques.  

This role will support and collaborate with a large team of data scientists and engineers by providing model ready data sets, which will be used to generate underwriting and rating products across personal, commercial, property, and auto insurance lines of business.  Most of your work will revolve around utilizing PySpark, SQL (SparkSQL, PostgreSQL, and MS SQL) and packages such as Pandas/Dask, NumPy, Numba, h2o, etc. to create these modeling datasets.    

Principal Responsibilities and Essential Duties: 

• Under supervision, executes project plans for timely project completion. 
• Provides technical advice to junior team members 
• 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.  
• Performs analyses of structured and unstructured data to solve multiple and complex business problems. utilizing advanced statistical, mathematical and machine learning technique. 
• Ability to research and develop new approaches, keeping up to date. 
• Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.  Implements as needed. 
• 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 Data Scientist to develop technical/business approaches and new or enhanced technical tools.  Participates in collaborations for implementation. 
• Develop knowledge of Verisk Analytics’ business practices, products, and data sources  
• Remain current on big data techniques and become familiar with state of the art tools  
• Contribute to the creation of detailed project plans to ensure projects are completed on time. 

Requirements 

• Experience (2-4 years) using statistical and machine learning computer languages (e.g. R, Python, SQL). 
• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.   
• Skilled with feature engineering and selection methodologies.  
• Knowledge in and applied experience with statistical and machine learning. 
• Working familiarity with cloud computing environments.  
• Logical, evidence-based problem solving and critical thinking skills. 
• Team focused and evidence of supporting project team members. 
• Distributed computing experience a plus, AWS experience additionally valuable.  
• Strong verbal and written communications skills, listening and teamwork skills, and effective summarization skills.  
• Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets. 
• Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. 

Preferred:  

• Exposure to image classification or recognition. 
• Experience with deep learning and/or text analytics. 
• Insurance experience, focusing on the personal lines or related business content. 

#LI-RM2

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

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.

Consumer Privacy Notice