Lead Data Scientist

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.

Verisk Insurance Solutions is looking for a Lead Data Scientist to join the Insurance Claims Analytics team.

Working as a Data Scientist at Verisk means:

• Being part of and contributing to a large, vibrant community of Data Scientists working in P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, and Geopolitical Security
• Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to business problems
• Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90% of Insurance Claims in the US, and billions of photos of insurance losses
• Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
• Working with cutting-edge technology, and continuously developing new skills and capabilities

Working in Verisk’s Insurance Claims Group involves:

• Forming part of an Analytics Center of Excellence who build AI and machine learning products for Verisk’s P&C insurance claims vertical worldwide
• Developing analytics solutions that help make millions of people financially whole more quickly after suffering losses such as house fires, auto accidents, hailstorms, hurricanes, injuries at work, and more
• Working on state of the art AI solutions that sit at the core of market-leading products used by thousands of insurance professionals and consumers.
• Green-field disruption of legacy process and systems as you work on a wide variety of technologies and products from fraud detection to deep learning

Specific Responsibilities

• The development and timely delivery of analytic solutions that meet specified technical requirements.
• Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, and Automated Speech Recognition
• Ensure that solutions meet specified technical requirements in a timely manner
• The sharing of important methodologies, advances, and best practices from your work among the whole analytic community

• 
  Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
• 4 years professional experience building machine learning and deep learning models in NLP
• Exposure to the property & casualty industry is desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a big plus
• Ability to lead projects from model design to deployment
• Proficient with NLP models for classification, information retrieval, recommender systems, NER, text summarization etc.
• Experience working with large datasets
• Experience with deep learning libraries such as Tensorflow and PyTorch
• Extensive experience in Python programming
• Understanding of RDBMs and interactive SQL programming skills are a must
• Experience with Big Data technologies like Spark and Cloud technologies (AWS, Azure, etc.)
• Experience with Git, JIRA, and basic software development best practices is required
• Aptitude for picking up new technologies is expected
• Strong communication skills

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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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