Senior Data Scientist

Working as a Data Scientist at Verisk means:

• Being part of and contributing to a large, vibrant community

• Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, 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 those 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, 95%+ of Credit Cards transactions in the US and UK, 7 million+ Safety Data Sheets, and Information on 3 million+ oil and gas wells

• 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

Purpose of the role

• Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.

• Development of analytic interns (that you are responsible for)

• Contribute to the development of the Verisk Analytic Community

Primary Goals to Be Assured

• The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.

• The incorporation of technical innovations and new developments in relevant analytic fields

• The development of analytic interns (that you are responsible for)

• The sharing of important methodologies, advances, and best practices from your work among the whole analytics community