Working as a Data Scientist at Verisk means:
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Being part of and contributing to a large, vibrant community
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Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, Geopolitical Security
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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
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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
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Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
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Working with cutting-edge technology, and continuously developing new skills and capabilities
Purpose of the role
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Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.
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Development of analytic interns (that you are responsible for)
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Contribute to the development of the Verisk Analytic Community
Primary Goals to Be Assured
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The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
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The incorporation of technical innovations and new developments in relevant analytic fields
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The development of analytic interns (that you are responsible for)
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The sharing of important methodologies, advances, and best practices from your work among the whole analytics community
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Senior Data Scientist in Newcastle upon Tyne employer: Verisk Careers | Verisk
Verisk Ignite is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to mentorship opportunities and the chance to lead cutting-edge projects that incorporate modern technologies like AI. The hybrid work model provides flexibility, allowing you to balance your professional and personal life while contributing to impactful software solutions.