Data Scientist I

Company 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.  

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. 

Job Description

 Job Summary:

We are looking for a Data Scientist responsible for structuered/unstructured data collection, cleansing, analysis of the data, perform text extraction from the word or PDF documents, text analytics, assign classifiers, perform n-gram analysis. The candidate should be able to work with  senior team members while demonstrating independence in analytical and software development lifecycle phases from concept, design, testing and deployment.

Responsibilities:

• Work under the supervision of Senior Data Scientist and collaborate with other Development team members
• Work on structured and unstructured datasets, perform Data Cleansing, Data Analysis, Data Augmentations, Text Extraction, Text Analytics. 
• Contribute to python coding for analytics projects including the web Front ends to generate POCs, represent data
• Generate BI representation of the data after data analysis, provide insights to senior team members of the findings.
• Provides solutions in timely manners, timely status updates for areas of individual responsibilities in projects

Qualifications

Qualifications:

• 1+ years of experience in structured/unstructured data cleansing, data analysis, familiarity with programming on Text mining, Text extraction, Text analytics, n-gram analysis
• Experience with advanced MS-Excel, Macros, creating charts and graphs in Excel or PowerBI for presentations.
• 1+ Experience with python programming, AWS, Flask and/or Angular JS Programming,
• Exposure to Pandas, Scikit tools, SciPy, PyTorch, TensorFlow
• Exposure in NLP, NTLK, statistical data analysis, Web Scraping  is a plus
• Some experience with database technologies like SQL server, Mongo DB, NoSQL etc.
• Exposure and familiarity to Big data environment, working on real-time streaming and analytics
• Experience in setting up AWS environment, working on lambda functions using Python is a plus.
• Any exposure to Deep Learning, Supervised and Unsupervised learning is a plus.
• Conversant with Agile and scrum methodologies
• Excellent communication and organization skills
• Demonstrated ability to work independently with minimal supervision.
• Ability to troubleshoot and maintain mid-level to complex applications.

Education/ Experience

• Masters or Bachelor’s Degree in Computer Science, Engineering or related field required