Data Scientist, Intern

Data Scientist, Intern

Location:

Austin, TX

Employment Type:

Intern

Department:
Data Analytics

Netspend Corporation is a global, vertically‑integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions to consumers worldwide. Netspend’s financial products and services span prepaid, debit, cross‑border payments, and loyalty solutions for consumers and enterprise partners. Since its founding in 1999, Netspend products have processed billions of dollars in transaction volume and served millions of customers worldwide.

The company is headquartered in Austin, Texas.

• Predictive Modeling & Analysis: Under guidance, build, test, and deploy standard machine learning models (e.g., regression, classification, clustering) to address specific business questions under the guidance of senior team members.
• Data Preparation & Engineering: Extract, clean, and transform structured and unstructured data from various sources (using SQL and Python/R) to prepare it for exploratory data analysis (EDA) and model training.
• Model Evaluation: Conduct routine testing and validation of existing data models. Apply professional judgment to identify performance anomalies and recommend tuning or remediation steps.
• Data Visualization & Reporting: Translate complex analytical findings into clear, actionable insights. Develop dashboards and reports using visualization tools (e.g., Tableau, Power BI, matplotlib) to present data clearly to business stakeholders.
• Process Improvement: Identify opportunities to modify, adapt, or automate data processing and modeling workflows to improve efficiency.
• Cross‑Functional
  
  Collaboration:
  
  Partner with data engineers, product managers, and business units to understand their objectives and translate them into technical data science requirements.
• Relationship Management: Develop and maintain stable working relationships with immediate colleagues, supervisors, and cross‑functional teams to foster a cohesive, data‑literate culture.
• Project Support: Assist senior data scientists on complex, large‑scale predictive modeling projects and participate in broader data governance and analytics work streams as assigned.
• All other duties assigned.

• Education: Progressing towards a degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field.
• Experience: None.
• Technical
  
  Skills:
  
  Proficiency in Python or R; strong ability to write SQL queries for data extraction and manipulation; hands‑on experience with core machine learning libraries (e.g., scikit‑learn, pandas, Num Py); experience with data visualization software (e.g., Tableau, Power BI, Qlik) and version control (e.g., Git).
• Knowledge & Application: Develops professional expertise and applies company policies to resolve a variety of data science and modeling issues, modifying analytical processes under guidance with minimal instruction.
• Complexity & Problem Solving: Works on data problems of moderate scope, using defined procedures and judgment to determine appropriate action.
• Collaboration & Interaction: Focuses on developing and maintaining stable working relationships with colleagues, supervisors, and internal business partners, adapting communication style to convey technical advice and results clearly.

Sponsorship: We cannot support H‑1B visas, student visas, STEM OPT extensions, or any candidate requiring current or future sponsorship.