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Zurich NA Data Scientist II in Helena, Montana

Data Scientist II

82996

Zurich North America is looking for a Data Scientist to join our Data & Analytics Team. This position can based out of our North American headquarters in Schaumburg, Illinois and we are also open to considering remote work.

Join a team that uses data and analytics to solve business challenges for Zurich North America and our customers. Data and Analytics at Zurich encompasses data science, analytics, dashboards and data visualizations as well as data as a business asset.

In this role you will work in a team to:

  • Lead a project team to collaborate with business stakeholders to understand their challenges and structure an advanced analytical solution to solve it

  • Lead a project team to scan a broad spectrum of internal/external, structured/unstructured data sources to define the optimal data set for testing the hypotheses; partners across the organization to connect these data sources to build the data set.

  • Lead a project team to prepare internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models.

  • Lead a project team to design, develop and validate models (descriptive, predictive, optimization/simulation and others) built using a variety of modeling techniques.

  • Lead a project team to work with stakeholders to develop a strategy on how to use the model to generate the desired impact

  • Lead a project team to work closely with stakeholders after deployment to ensure that impact is achieved.

  • Monitor model accuracy, and working with stakeholders to ensure the model is used appropriately and generates the desired impact

  • Work with cross-functional teams to put models into production, and provide support on IT implementation and system integration of models.

  • Develop best practices and improvements to analytic techniques to solve business challenges.

  • Establish, maintain and grow collaborative relationships across the organization

Basic Qualifications:

  • High School Diploma or Equivalent with 7 or more years of experience in Computer Science, Statistics or Mathematics and experience transforming data in the business analysis areaOR

  • Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis areaOR

  • Bachelors Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis areaOR

  • Masters Degree in Computer Science, Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis areaOR

  • PhD in Computer Science, Statistics or Mathematics and 0 or more years of experience transforming data in the business analysis area

Preferred Qualifications:

  • Advanced analytical and problem solving skills

  • Ability to develop actionable solutions to business challenges

  • Strong verbal and written communication skills

  • 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

  • Advanced knowledge of statistical and predictive modeling techniques such as machine learning, decision trees, probability networks, association rules, clustering, regression, GLMs, and neural networks and their application to business decision

As a condition of employment at Zurich, employees must adhere to our COVID-related health and safety protocols ( https://www.zurichna.com/careers/faq ), including, without limitation, a requirement that employees attest as to their vaccination status with a YES/NO, and upload proof of vaccination status, or negative COVID test results when allowable, to a third-party vendor. These are continuously re-evaluated and the requirements may change at any time.

A future with Zurich

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 148 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here (https://www.zurichna.com/careers) to learn more.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet

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.

Location(s): AM - Remote Work (US), AM - Schaumburg

Remote Working: Yes

Schedule: Full Time

Linkedin Recruiter Tag: #LI-MF1

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