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Zurich NA AVP, Senior Data Scientist in Jersey City, New Jersey

AVP, Senior Data Scientist

Description

Zurich North America is looking for a Senior Data Scientist to join the Data & Analytics team, supporting the United States Commercial Insurance (USCI) and Middle Market business units, based out of North American Headquarters in Schaumburg, Illinois or our New York/Jersey City offices.

In the Senior Data Scientist role you will lead one or more project teams responsible for using data and analytics to create business impact for the USCI and Middle Market business units. Data & Analytics at Zurich encompass data science, analytics, dashboards and data visualizations as well as data as a business asset.

In this role you will:

  • Lead one or more teams of data scientists to solve business problems and bring impact to the business units. This means:

  • Partnering with stakeholders to understand how data and analytics can help the business unit achieve their strategic priorities

  • Ensuring the quality of the data and analytics solution being built, and that it’s fit for purpose

  • Working with stakeholders to develop a strategy on how to use data and analytics to generate the desired impact

  • Continuing to work with stakeholders after deployment to ensure that impact is achieved

  • Broad ownership of a portfolio of 2-4 projects, each with a project lead and a project team

  • Establish and maintain collaborative relationships throughout the organization

  • Develop the team’s analytic and business problem-solving skillset.

Basic Qualifications:

  • Bachelor’s Degree in Computer Science or Engineering or Mathematics/Statistics or Technology and 8 or more years of experience in the Predictive Analytics areaAND

  • Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction

  • Experience with programming and database mining tools such as Hadoop, Hive, Pig, Java, SQL, and Python.

Preferred Qualifications:

  • 2 or more years of Project Management level experience for projects with management consulting

  • Experience in managing and developing people

  • Strong communication and presentation skills

  • Ability to craft and defend actionable solutions to business challenges

  • Experience in using data and analytics, including data science, to solve business challenges and drive business impact

  • Knowledge of statistical and data science models, e.g. GLMs, decision trees, clustering, association rules, ensemble methods

  • Experience leading, managing, and coaching an analytics team

  • Commercial property & casualty insurance knowledge and experience.

Imagine working for a company that truly cares about their employees, customers, stakeholders, and communities they serve.

Imagine working for a values-driven organization that has the ambition and desire to be the best global insurance provider in the world.

Zurich is that place where 55,000 employees across approximately 200 countries and territories are all focused on helping people and helping companies protect what is truly most important to them. We are a values-driven organization that takes pride in the work that we do every day and we have the ambition to be the best global insurer in the world.

EOE disability/vets

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Primary Location: United States-Illinois-Schaumburg

Other Locations: United States-New Jersey-Jersey City

Schedule Full-time

Travel Yes, 5 % of the Time

Relocation Available Yes

Job Posting 05/08/20

Unposting Date Ongoing

Req ID: 200001SN

It is the Policy of Zurich in North America, as an equal opportunity employer, to attract and retain the best-qualified individuals available, without regard to race/ethnicity, color, religion, gender expression, genetic information, national origin, sex, gender identity, sexual orientation, marital status, age, disability or protected veteran status.

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