Title: Senior Data Scientist Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in the Europe, Bermuda, Canada, Singapore, 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 Job Summary: Everest Reinsurance is currently looking for a Senior Data Scientist, a new position within our Business Performance & Analytics team, to advance our advanced analytics / data science practice. This role will be responsible for applying predictive modeling and machine learning techniques to gain better data insights and solve business challenges around profitability and growth. Successful candidates bring expertise in insurance industry, a passion for applying ML and AI insights, and the ability to design and implement data science capabilities to inform strategic decision making. This is a hybrid position in Warren, NJ working 3 days in office, 2 remote. Responsibilities include but not limited to: Create modeling datasets including extraction of structured and unstructured data, cleansing and validation Build and maintain predictive models for various use cases in underwriting, distribution and claims Utilize various aspects of analytics including statistical analysis, exploratory data analysis, machine learning and modeling techniques to analyze large and complex data sets Deliver insights from data with advanced analytic models and visualization tools Work directly with business leaders to introduce and apply ML and AI innovations to practical and impactful business challenges Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance Collaborate with various business partners, IT and peers to drive technical execution of modeling projects Qualifications, Education & Experience: BS or MS in data science, advanced analytics, mathematics, or quantitative discipline such as Statistics, Engineering, Physics 5 years of experience as a data scientist Experience with large-scale datasets and implementing predictive modeling, data mining, and other quantitative and research analytics Proficiency in SQL, Python or R P&C insurance industry experience Proven track record for delivery of data-driven insights and advanced analytic models Knowledge, Skills & Competencies: Strong analytical skills, with attention to detail Excellent verbal and written communication skills Ability to structure an analytic project, work with ambiguity, problem solve, focus on outcomes, adhere to timelines, and deliver results Ability to explain the output of work products to leadership without ambiguity Ability to meet deadlines with high-quality end-products in a fast-paced environment Solid organizational skills and the ability to work both in a team environment and independently on assignments 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. Click here to learn more about our culture. 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. #LI-KG1 #LI-Hybrid 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 everestbenefits@everestglobal.com. Everest U.S. Privacy Notice | Everest (everestglobal.com) EVEREST is a leading international reinsurance and insurance group with an extensive distribution network that spans five continents. With roots dating back to 1973, Everest has developed a global footprint and deep client relationships that are largely unmatched by its peers. The Company’s principal business strategies seek to leverage its strengths to optimize returns over the underwriting cycle, thereby creating value for its shareholders and business partners.