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Verisk is seeking a Data Scientist in the United Kingdom to work across multiple verticals, including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, and Geopolitical Security. You will apply predictive modeling, machine learning, forecasting, network analytics, NLP, computer vision, and voice analytics to develop solutions to business problems.
You will work with rich datasets and see your work result in new products, product enhancements,
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