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Data Science, Summer 2022 Intern
Data Science, Summer 2022 Intern
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The Petal mission
Petal’s mission is to expand access to opportunity, by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.
Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
The Data Science, Intern role
We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. In this role, you will aid in the development of models and conduct research to support the Data Science team.
We are looking for passionate people who are excited by the Petal mission.
Approximate internship dates: May 31 - August 19, 2022
Key responsibilities:
- Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
- Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
- Explore and test new data sources to improve our risk and marketing models.
- Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
- Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.
Characteristics of a successful candidate:
- Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math)
- Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!)
Nice to haves:
- Strong preference to rising Seniors or candidates working toward MA/MS/PhD
Petal is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.
For our California employment information privacy statement, please click here.
This job is no longer open