Data Science Intern Jobs

About Us:

Open Lending provides automated lending services to financial institutions.

The company specializes in loan analytics, risk-based pricing, risk modeling and automated decision technology for automotive lenders throughout the United States. The company was founded in Austin, TX in 2000.

Before taking the company public in 2020, Open Lending ranked among Austin’s fastest-growing, privately held companies. Starting in 2013, the company placed for seven consecutive years on the Austin Business Journal’s Fast 50 list. Additionally, Open Lending has been named a top workplace by both the Austin Business Journal and the Austin American Statesmen.

The Opportunity

Open Lending is seeking a Data Science Intern for the fall of 2023. The Data Science Intern will assist our Lead Data Scientist in performing data analytics, predictive modeling, and machine learning (ML) to support key business objectives for our organization. As part of the internship, you will be assigned a specific project and will have the opportunity to manage the project from start-to-finish and offer a meaningful end product that will help the company meet an important goal for 2023. The ideal candidate should have a passion for working with data and a strong enthusiasm for learning

What you’ll do:

• Gather, prepare, and analyze data
• Become familiar with Open Lending’s Lenders Protection platform, Data Warehouse, and Data Lake
• Develop technical skills working with data science tools such as Jupyter Notebook, Azure ML Studio, R Studio, and Azure Databricks
• Prepare presentations and reports
• Participate in Data team meetings and daily huddles
• Conduct data studies and document results
• Develop and train ML and predictive models

Skills you'll need:

• Experience with relational databases and SQL development
• Previous experience working on Data Science projects
• Strong analytical and problem-solving skills
• Anticipated graduation date in Fall 2023 or Spring 2024
• Experience with Python scripting
• Familiarity with ML algorithms such as Regression, Decision Trees, Neural Networks, and Random Forest
• Pursuing a degree in Mathematics, Statistics, Business Analytics, Information Technology, or a related field
• Excellent verbal and written communications skills
• Strong enthusiasm for learning