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BILL
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June 19, 2025
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San Jose, California, United States
Internship
Onsite
Intern
BILL is a developer of financial automation software for small and midsize businesses (SMBs). They are seeking detail-oriented and enthusiastic Risk Data Science Interns to work on projects related to fraud and credit risk, focusing on data analysis, machine learning model development, and risk strategy refinement.
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Responsibilities

  • Collaborate with cross-functional teams, including product management, engineering, and operations, to design, build, and refine data-driven models and strategies for fraud detection and credit risk assessment.
  • Develop and implement machine learning models and advanced analytics to support risk-related decision-making processes.
  • Conduct experiments to evaluate the impact of machine learning-driven risk strategies on customer experience.
  • Analyze large datasets to identify trends and insights, and create visualizations and dashboards using tools like Python, SQL, and Tableau to communicate results to technical and non-technical stakeholders.
  • Support the development of credit risk strategies by creating predictive algorithms and maintaining high-performance models to achieve key performance indicators (KPIs).
  • Participate in end-to-end risk control strategy design and execution, including the development of automated monitoring rules and the refinement of existing processes.

Qualification

Required

  • Currently pursuing a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Economics, or related disciplines, with an expected graduation between December 2025 and August 2026.
  • Strong foundation in data science and machine learning techniques, including clustering, classification, regression, decision trees, and anomaly detection.
  • Proficiency in Python, SQL, and data visualization tools (e.g., Tableau) to perform complex data analysis and create actionable insights.
  • Ability to work with large datasets and apply statistical modeling to solve business problems, particularly in the domains of credit and fraud risk.
  • Strong analytical thinking, problem-solving skills, and the ability to handle ambiguity while steering projects toward clear, actionable outcomes.
  • Excellent communication skills, with the ability to translate complex technical results into clear business recommendations.

Preferred

  • Experience in the financial services, fintech, or online payments industry, particularly in risk, credit, or fraud domains.
  • Knowledge of AWS, payment rule systems, and credit products is a plus.
  • Familiarity with experimental design

Benefits

  • 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
  • HSA & FSA accounts
  • Life Insurance, Long & Short-term disability coverage
  • Employee Assistance Program (EAP)
  • 11+ Observed holidays and wellness days and flexible time off
  • Employee Stock Purchase Program with employee discounts
  • Wellness & Fitness initiatives
  • Employee recognition and referral programs
BILL is a developer of financial automation software for small and midsize businesses (SMBs).
Glassdoor
3.8
Founded in 2006
San Jose, California, USA
1001-5000 employees
http://www.bill.com