Job Location: Wilmington, DE
Full Job Title: Data Scientist Internship Program Job Number: R2208-33079 Location: Wilmington, Delaware Date Posted: 08/16/2022
Data Scientist Internship Program
Location: Wilmington, DE
About Us
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
In our 1,400 community branches and across the U.S., team members help millions of customers solve critical financial needs, including debt consolidation, home and auto repairs, medical procedures and extending household budgets. We meet customers where they want to be — in person, by phone and online.
At every level, we’re committed to an inclusive culture, career growth opportunities and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.
- Most Loved Workplace
- Social Project Bond of the Year
- Most Honored Company/2022 All America Executive Team
- #1Best CEO, Consumer Finance
- #1 Best CFO, Consumer Finance
About You
- You are ready to launch your data science career.
- You want to create solutions to help hard-working Americans improve their financial lives.
- You want to directly learn from some of the best data science and business leaders in consumer finance.
- You want to be part of a team which is nimble, collaborative, diverse, and fun.
THE ROLE
OneMain Financial is seeking exceptional post-graduate students to join our Data Science Internship Program (DSIP). In this 10-week paid internship program you will dive into the deep end of consumer finance data science as you apply your newly learned skills to develop a real-world use case. Examples could be, but are not limited to, (1) evaluating non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments; (2) mining the “digital exhaust” of our marketing campaigns to identify new populations who would benefit from our products; or (3) partnering with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers.
No matter the project, you’ll be working on a real-world use case – not a made-up simulation. If your solution works well enough, it will be deployed in the market. Along the way, you will be paired up with a data scientist who can give you the tips and tricks you won’t learn in school, as well as their advice on how to successfully launch your professional journey. You will also be coached by a manager who will guide you through the full arc of a data science project. Finally, you will have direct exposure to senior leaders in data science and credit management who are eager to share their perspectives from their own career , as well as their thoughts on where this profession is headed.
Responsibilities
- Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems.
- Actively contribute to our team’s vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with.
- Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder returns.
Qualifications
- Current post-graduate student in a quantitative discipline (Engineering, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science), with an expected graduation date prior to summer 2024.
- Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience.
- Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects.
- Experience in use of open-source machine learning libraries (Python or R).
- Innovative and capable of developing creative solutions to complex, data-driven problems.
- Successful candidates will possess strong knowledge of the foundations of data science – the theory, the math, and the tools. They will also demonstrate judgment, curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action. Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges.
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
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