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 Bachelors in quantitative field with 5-8 years of relevant experience, or Masters in quantitative field with 3-5 years of relevant experience, or PhD in quantitative field with 0-2 years relevant experience Strong programming skills, particularly in Python Ability to solve problems analytically and creatively Strong communication (written and oral) skills An in depth of knowledge of Computer Vision & Machine Learning Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases Knowledge of the Auto industry and Auto Insurance would a bonus but not required