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Irvine, CA

Internship

Onsite

$20/hr - $25/hr

Intern

Finfare is on a mission to improve the financial health of small businesses. As an AI & Data Science Intern, you will play a vital role in advancing the company's analytics and machine learning capabilities, contributing to the development of data-driven solutions that power Finfare’s product suite.

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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.

Qualification

Required

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.
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.

Preferred

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.