Title: Principal Data Scientist

Company: Everest Insurance Company

Job Category: Analytics

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
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 our New Jersey office. 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 include:

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.”

Qualifications, Education & Experience:

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.

Knowledge, Skills & Competencies:

Extensive experience with machine learning algorithms such as random forest, gradient boosting, deep learning, and support vector machines as well as techniques like natural language processing, bootstrapping, cross-validation, and stratified sampling.
Experience and knowledge of statistical modeling including OLS, generalized linear regression, time series analysis, survival models, and structural equation modeling.
Strong proficiency with R and/or Python.
Proficiency with SQL.
Experience with research design, hypothesis testing, design of experiments, analyzing data, and developing actionable recommendations for business units.
Ability to collaborate and communicate with a variety of audiences and partners.
Experience presenting technical materials to non-technical audiences.

For CA and NYC: The base salary range for this position is $170,000 - $200,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location.

Our Culture:

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors.

Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Diversity, Equity and Inclusion.
Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

In lieu of professional experience, we welcome equivalent military experience, and encourage all to learn more about diversity, equity & inclusion at Everest: Diversity, Equity & Inclusion

Type: Regular

Time Type: Full time

Primary Location: Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at

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Everest Group

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