TBD

• Graduate-level degree with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline.
• 2+ years of experience in the Data Science area in a business environment.
• Skilled with EDA, feature engineering, model selection and assessment methodologies, as well as familiar with all stages of the data science project lifecycle.
• Extensive knowledge in and applied experience with statistical and machine learning methods.
• Experience in using Python programming language in data-related projects.
• Experience with cloud computing environments - AWS preferred.
• Highly developed logical, evidence-based problem solving and critical thinking skills.

NICE TO HAVE:

• Practical experience and knowledge about time series analysis and modeling (for one of the projects within project portfolio supported by the team).
• Insurance experience, focusing on the personal lines, commercial lines, underwriting or related business content.
  For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
  At Verisk, you’ll have the chance to use your voice and build a rewarding career that’s as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
  For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
  We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

PURPOSE OF THE ROLE:

• Develop predictive models in a timely manner to support development of personal lines and commercial lines insurance products accordingly to the schedule and with respect to regulations.Execute R&D tasks and provide stakeholders with deep insights that help to drive business decisions.

PURPOSE OF THE TEAM:

The Insurance Analytics team produces models, analyses and other data science solutions for use in the U.S. insurance market. We additionally provide timely and valuable insights to our clients as well as stay engaged and up-to-date in the regulatory insurance environment.