Everest Global Services - Chicago, IL

posted 5 months ago

Full-time - Principal
Chicago, IL
Professional, Scientific, and Technical Services

About the position

About Everest: It's an exciting time for Everest Group, Ltd. ('Everest' or 'the Group')! As we continue on our journey, we see significant opportunity ahead of us to expand our reach, build diversity, and enhance our capabilities in critical markets. Everest is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in Europe, Bermuda, Canada, Singapore, the US, and other territories. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. But the most critical asset in this organization is our people. At Everest, we are committed to the development of our people. We offer dynamic training & professional development to our employees. You will benefit from career development and learning opportunities that will let you set career goals and fulfill them, including generous tuition/continuing education reimbursement, mentoring opportunities, flexible work arrangements, talent development initiatives, and networking groups. About the Role: The Data & Analytics Team of Everest Group, Ltd. ('Everest' or 'the Group') is looking for a Principal Data Scientist to join one of our Everest locations working a hybrid schedule. This newly created position will work together with other data scientists within Everest toward the continued development of a Data Science Community of Practice within the Everest Insurance organization. This position will build and deploy statistical and machine learning models to solve specific business problems across the organization. This position works closely with the Insurance Data Strategy team, Operational Business Leadership, and IT Services in the development of AI/ML Products and their implementation within business processes.

Responsibilities

  • Work independently with business stakeholders to translate business problems into tractable data science projects.
  • Lead large data science initiatives that involve multiple data scientists and data engineers.
  • Mentor and coach junior data scientists.
  • Develop and structure projects in a clear, organized, and robust manner to ensure high-quality products.
  • Be comfortable working with ambiguity, anticipating roadblocks, and scrutinizing assumptions.
  • Be delivery focused: Exhibit creative problem-solving skills, focus on outcomes, adhere to timelines, and deliver results.
  • Work with stakeholders to develop implementation plans for analytical projects to drive adoption and business use.
  • Develop and implement techniques for model monitoring, maintenance, and business evaluation.
  • Promote a data-driven culture throughout the organization. Engage in conversation with the business around 'the art of the possible using data science.'

Requirements

  • Passion for driving change and achieving goals.
  • Experience with end-to-end model build and delivery, from business understanding to exploratory data analysis to model building and deployment.
  • Familiarity with productionalizing real-time, near-real time, and batch models.
  • 5+ years applied experience as a data scientist in a related field.
  • Direct experience within the Insurance Industry desired.
  • Experience working with actuaries on data science projects is a plus.
  • Proven record of delivery of data-driven insights and advanced analytic models to inform strategic decision making.
  • BS (advanced degree MS/PhD preferred) in quantitative discipline such as Statistics, Engineering, Math, Physics, etc.

Nice-to-haves

  • Extensive experience with machine learning algorithms.

Benefits

  • Generous tuition/continuing education reimbursement
  • Mentoring opportunities
  • Flexible work arrangements
  • Talent development initiatives
  • Networking groups
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