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AI and Data Science Intern

Irvine, CA

About Finfare Financial

Finfare Financial offers a Next Generation Business Card program that redefines the future of modern finance. We combine working capital with an enterprise-grade AI/Machine learning solutions suite, empowering businesses to grow faster. Finfare Financial is dedicated to empowering Scaling and Middle Market businesses with market leading 1.5% cashback rebates, 30/60/90 day repayment options, bill payment, expense management integration and a Next Level+ Rewards program that delivers AI/Machine Learning solutions to support business growth.

About the Role

As an AI & Data Science Intern, you will play a vital role in advancing our analytics and machine learning capabilities. You’ll contribute to the development of data-driven solutions that power Finfare’s product suite, from predictive models to AI-enhanced agents and decision tools. This is a unique opportunity to work directly with experienced data scientists and engineers, gain exposure to real-world business problems and contribute meaningfully to projects that impact the company’s direction. If you're a curious, hands-on learner who thrives in a high-growth environment, this internship is for you.

This is a part-time summer internship position (June – August 2025) with the possibility of extension based on performance and project needs. This internship requires M-F on-site availability in Irvine, CA from 9AM-2PM. Local candidates only.

Responsibilities

  • Innovative Idea Generation: Contribute to the identification of data science opportunities by researching industry trends and brainstorming ideas that support Finfare’s business goals.
  • Proof of Concept Development: Assist senior data scientists in building prototypes to explore the feasibility of new AI-driven ideas and present findings to the broader team.
  • Model Development and Implementation: Support the development, implementation, and refinement of machine learning models to address business challenges and extract actionable insights.
  • Data Exploration: Collect, preprocess data from various sources and conduct exploratory data analysis (EDA). Apply statistical methods to reveal trends, patterns, or anomalies that inform model building and product decisions.
  • Statistical Analysis: Utilize advanced statistical and analytical techniques to uncover patterns, trends and meaningful insights from data.
  • Data Transformation: Manipulate and transform data to prepare it for machine learning and analysis, maintaining data quality and consistency.
  • Model Evaluation: Evaluate and optimize the performance of deployed models to ensure their accuracy and effectiveness.
  • Additional Duties: Perform other ad-hoc duties as assigned.

Qualifications and Requirements

  • Education: Currently pursuing a degree in Data Science, Computer Science, Statistics, Engineering, or a related field; Or recently graduated. Graduate students with AI agent experience are strongly desired.

Technical Skills:

  • Strong understanding and execution of machine learning models and AI agents.
  • Interested in and staying up to date with the latest trends, research and real-world applications of AI and data science.
  • Clear communication and curiosity to learn

Bonus Points:

  • Strong data analysis and visualization skills.
  • Prior experience in a fintech or data-intensive industry.
  • Familiar with Python, SQL
  • A proactive and open mindset, with a willingness to learn and adapt to emerging technologies.

Compensation

The salary range for this position is $20 - $25 per hour (depending on experience).

Benefits at Finfare Financial

  • Catered lunches 5x times a week
  • Dog days
  • Other employee perks

As part of our dedication to the diversity of our workforce, Finfare Financial is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.

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