Senior Data Scientist
- Hiring from
- United Kingdom
- Work type
- Hybrid
- Posted
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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
The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
Develop analytic solutions using machine learning techniques including Predictive Modeling, Computer Vision and Generative AI.
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
The development of analytic interns that you are responsible for
Identify training opportunities and project opportunities that can help develop the analytic interns 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 forums
Success 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
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
