Data Scientist III
3 weeks ago
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 capabilitiesPurpose 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. Lead projects with up to two more junior analytic scientists 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 intern analysts that you are responsible for The sharing of important methodologies, advances, and best practices from your work among the whole analytics communitySpecific Responsibilities:
The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
Design analytic solutions to identified problems 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 business requirements around accuracy, sophistication, and interpretability. Ensure that solution is delivered in a timely manner.The incorporation of technical innovations and new developments in relevant analytic fields:
Keep abreast of technical innovations and new developments in relevant analytic fields Consider these innovations/new developments when designing analytic solutionsThe development of analytic interns that you are responsible for:
Identify training opportunities and project opportunities that can help develop the analytic interns that you are responsible for.The sharing of important methodologies, advances, and best practices from your work among the whole analytic community:
Help organize these forums for developing Verisk’s analytic community Share important methodologies, advances, and best practices from your work among the whole analytic community via these forumsSuccess Criteria
Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc Positive feedback on the support received from business partners Advancement of analytic interns that you are responsible for Positive feedback from analytic interns that you are responsible for Positive feedback from team members and leaders of the Verisk analytic community
Qualifications
Bachelor’s in quantitative field with 8-12 years of relevant experience, or Master’s in quantitative field with 6-8 years of relevant experience, or PhD in quantitative field with 3-5 years relevant experience Strong programming skills, particularly in one or more of Spark, SAS, R, Python, C Ability to solve problems analytically and creatively Strong communication (written and oral) skills A depth of knowledge in one or more of Big Data Platforms, Predictive Modeling, Entity Resolution, Time-series Forecasting, Graph Databases, Network Analytics, Neural Networks, NLP, Computer Vision, ASR Familiarity with SQL or NoSQL (, Hadoop, HBase, MongoDB and/or Neo4j) databases
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