Verisk is looking for an experienced data scientist to support the development of various analytics models and supervise several junior data scientists. The successful candidate will have experience in data science with coding experience in Python and the ability to develop models using GLMs and machine learning. You will have the skills to manage a small group of data scientists and contribute to the development of new and existing products. This is an exciting and varied role with great potential for career development. We are looking for a motivated and dynamic individual who will enjoy following the process of product development from concept development to execution to customer delivery. Excellent communication skills and commercial awareness are essential. You will have an entrepreneurial mindset, strong technical skills, the ability to operate independently in a matrixed organization, work with staff in multiple geographic locations, and own/drive projects to their successful completion. This is an exciting and varied role with great potential for career development. We are looking for a smart and highly motivated individual who will enjoy being creative with modern data science techniques. You will have great attention to detail, strong technical skills and a desire to learn about the insurance industry. Excellent communication skills and a strong belief in teamwork are essential. Role Responsibilities Support the Analytics Team build out new analytics products for claims and underwriting Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new data with minimal effort Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues. Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results.