New York Life Insurance Company NYL Data Scientist/Statistician Internship in New York, New York
A career atNew York Life (https://www.newyorklife.com/) offers many opportunities. To be part of a growing and successful business. To reach your full potential, whatever your specialty. Above all, to make a difference in the world by helping people achieve financial security. It’s a career journey you can be proud of, and you’ll find plenty of support along the way. Our development programs range from skill-building to management training, and we value ourdiverse and inclusive workplace (https://www.newyorklife.com/about/careers/diversity/) where all voices can be heard. Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and service, supported by ourFoundation (https://www.newyorklife.com/foundation) . It all adds up to a rewarding career at a company where doing right by our customers is part of who we are, as a mutual company without outside shareholders. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visitLinkedIn (https://www.linkedin.com/company/newyorklife/) , ourNewsroom (https://www.newyorklife.com/newsroom/) and theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .
NYL’s Center for Data Science and Artificial Intelligence is hiring graduate students or recent graduates on a temporary basis with full time hours (40 hours per week). We are looking for candidates that can fill roles immediately as well as for summer interns to start in May / June 2022.
Ideal candidates have or are in the process of obtaining a Master’s or PhD in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team you will have the opportunity to gain real-life work experience, develop your skills, and begin building a network in a professional environment.
The Center for Data Science and Artificial Intelligence is New York Life’s centralized data science team. We support multiple areas of the company including Agency, Finance, Marketing, Underwriting, Product, Actuarial, and more. Our projects are as varied as the data that we use. While we are using the latest in machine learning methods for some projects, for others we adopt a more traditional approach. The opportunity to provide real data science solutions to our business partners will make this internship very rewarding.
Recipient or in process of obtaining a Master’s or PhD in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature
Exposure and experience with standard statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc.
Excellent skills in Python R.
Good feature engineering skills, ability to use SQL if needed
Strong business sense and personable
Self-directed and independent
Compensation is competitive. Relocation / housing support will not be provided.
Our office is located in New York City near Madison Square Park on Madison Ave between 26th and 27th street. Internships will likely be partially remote / partially in the office.
New York Life Insurance Company is a mutual insurance company, which means it is not publicly traded and has no shareholders. Instead its policyowners are the ones who share in ownership rights of the company. With a mutual company, clients who purchase participating products are entitled to vote in the board of directors elections are eligible to share in annual dividends that are declared. The company's priority is to safeguard their interest. Policies issued by our subsidiary companies are not participating and do not share in these rights.
Individual independent rating agency commentary as of 9/12/19. A.M. Best (A++), Fitch (AAA), Moody’s Investors Service (Aaa), Standard & Poor’s (AA+). New York Life Insurance Company, EOE/M/F/D/V/SO
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