ANALYZE STRATEGIZE INNOVATE

Transcription

1 ANALYZE STRATEGIZE INNOVATE Learn about Our Data Science Excellence Program

2 Calling aspiring data scientists Are you excited about using proprietary data to solve problems in insurance, finance, energy, and climate? Do you visualize data and build proofs of concepts to solve problems and puzzles for fun and look forward to using those skills to solve real-world problems? Do you thrive on uncovering analytical insights through data mining and statistics and translating those insights into decisions and actions? Are you looking to develop technical and nontechnical skill sets and learn how to become a team and business leader? Verisk Analytics is searching for individuals just like you to play a vital role in modeling, visualizing, and interpreting the critical data at the heart of our business platforms. We ve designed our Data Science Excellence Program as a path to get you there and transform you into a leading expert on risk data and decision analytics.

3 How the program works Our Data Science Excellence Program consists of three 18-month rotations at different Verisk businesses. This full-time position as a Verisk data scientist provides a competitive salary, long-term incentive awards, and on-the-job training with real-world projects in a variety of disciplines. Locations include: AIR Worldwide (catastrophic risk modeling solutions): Boston, Massachusetts Argus (financial information services): White Plains, New York; San Francisco, California Atmospheric and Environmental Research (weather risk management and research services): Lexington, Massachusetts Verisk s innovative analytics team (advanced analytical solutions for financial services and property/casualty insurance): San Francisco, California Verisk insurance solutions (property/casualty insurance risk services): Jersey City, New Jersey; Lexington, South Carolina ISO (property/casualty insurance risk services): Jersey City, New Jersey; San Francisco, California; Buffalo Grove, Illinois (auto insurance analytics) Xactware (building and repair cost estimation solutions): Lehi, Utah Verisk Maplecroft (global risk analytics, research, and strategic forecasting): New York, New York; Jersey City, New Jersey At the program s conclusion, you ll emerge with a broader understanding of our global company, prepared to provide strong project leadership in your ultimate business unit placement.

4 Why Verisk? We re big not just in data, but in scope and principle serving customers in 30 countries with about 7,500 employees, including many renowned technology experts. We re an accomplished workforce, where nearly 30 percent of our people have advanced degrees, certifications, and professional designations in fields like predictive analytics, data science, actuarial science, mathematics, computer science, chemistry, physics, economics, engineering, meteorology, and GIS mapping. As a socially responsible member of the S&P 500 and Nasdaq 100 indices, we provide leading predictive analytics and decision support solutions to customers in specific vertical markets, including insurance, energy and specialized markets, and financial services. When you join our team, you ll enter an environment recognized by Forbes as a Best Mid-Size Employer and one of the World s Most Innovative Companies. We earn that recognition, in part, by developing engaging employee experiences in service to our customers, promoting a healthy work/life balance, and offering opportunities to give back through community awareness programs such as Verisk Volunteer Week. As a Verisk data scientist, you ll get hands-on analytics experience working on Verisk projects and products. You ll also have advanced learning opportunities in data science leadership training and continuing education and receive formal performance evaluations for professional development planning.

5 From environment analytics to a mobile app revolutionizing vehicle underwriting, we innovate in many ways. More of what our Data Science Excellence Program offers Collaborative learning: We ve designed our Data Science Excellence Program to enhance participant learning while familiarizing you with various Verisk business units, products, services, and customers. Your peers will be there to assist you, and experienced data scientists will be on hand daily to discuss concepts and concerns. The program also includes group discussions and Q&A sessions along with a collaborative culture. Mentors: As part of the program, you ll develop mentorships, so you ll not only learn about the cutting-edge techniques used in the growing field of big data but also get to know actual practitioners actively working in the field. Professional growth and social network: Through the program, you ll be part of our cross-functional professional and social network. You ll share experiences and learn from colleagues, mentors, and senior business leaders as you build the foundation of your career. You ll establish contacts here that serve as an invaluable source of knowledge, advice, career opportunities, and friendship in years to come.

6 Verisk seeks the best and the brightest for this selective program. What you ll need Master s degree in data science or data analytics GPA of 3.5 or higher Demonstrated skills in research and analysis Excellent written and verbal communication skills Professional internship experience plus a history of involvement in school and community activities Confidence, humility, and a commitment to excellence and professional growth If you re looking for a career in big data that inspires, challenges, and rewards join us! For more information, contact Stephanie Sullivan, program manager, Data Science Excellence Program: Stephanie.Sullivan@verisk.com Insurance Services Office, Inc. Verisk Analytics and ISO are registered trademarks and Verisk, the Verisk logo, and Verisk Maplecroft are trademarks of Insurance Services Office, Inc. AIR Worldwide is a registered trademark of AIR Worldwide Corporation. Argus is a trademark of Argus Information and Advisory Services, LLC. Xactware is a registered trademark of Xactware Solutions, Inc. All other product or corporate names are trademarks or registered trademarks of their respective companies. va18014 (1/18)