Data Science Intern

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Ocrolus is a fintech infrastructure company that transforms documents into actionable data with over 99% accuracy. Designed to streamline document-driven workflows and automate high-stakes financial decisions, Ocrolus is trusted by leading fintechs like SoFi, LendingClub, Cross River Bank, BlueVine, Enova, and Plaid, to name a few. Powered by Artificial Intelligence and a unique human-in-the-loop data validation process, Ocrolus plugs directly into customer workflows via API, eliminating the need for manual data work. Ocrolus has raised over $50 million in venture capital, backed by Oak HC/FT, FinTech Collective, Bullpen Capital, and QED Investors, among others.

We pride ourselves on being a dynamic, diverse team, unified by shared values of Ownership, Optimism, Objectivity, Humility, Urgency, and Appreciation. We love what we do and the people we do it with, which is why we invite our team to bring their full selves to work every day.

Are you interested in doing data science work in a fast moving Fintech? Ocrolus is rated the fastest growing Fintech in the INC 5000 list and we are looking for data science interns. We want motivated people with knowledge in python, SQL, data visualization, and machine learning. You will work on delivering data products to internal and external clients, including creating new lending analytics and developing new KPIs. This position is a paid internship and is remote for the entire time.

Responsibilities:

• Support the development of small business and consumer lender analytics
• Assist in building a credit risk model using cash flow information
• Create easy-to-understand dashboards to track KPIs using SQL queries
• Create data quality checks verify reports
• Help build financial datasets by cleaning, transforming, and organizing semi-structured document data
• Resolve support issues for lender analytics and dashboards
• Work with modern, cloud-based technologies (preferably AWS stack)

Requirements:

• MS student or new grad in quantitative discipline (e.g. math, statistics, computer science, engineering). Students need to have an expected graduation date before June 2021.
• Have a researcher’s mindset when tackling problems without well-defined solutions
• Knowledge on how to apply statistics to answer business questions
• Strong programming skills in Python.
• Strong SQL skills, comfortable working with relational data models
• Clear communication skills, spoken as well as in writing. Able to present complex and technical topics to various audiences.
• Has the ability to develop high quality machine learning models

Extra Credit

• PHD student or new grad in quantitative discipline (e.g. math, statistics, computer science, engineering).
• Previous data analyst experience
• Background in working with financial data

Our employees are incredible individuals - that’s the only kind we hire - and we’re committed to their well-being and supporting their efforts to become the best they can be, both at work and in life. This includes offering flexible working hours, unlimited PTO, Summer Fridays, an inclusive work environment (D&I Council), and wellness reimbursement for physical and mental well-being.