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$107,160–$218,662.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
222 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 199 roles with salary data.
As a Summer 2027: Finance Transformation & Analytics Intern, you will join the Financial Integrity, Transformation & Governance Data team to help redesign how Finance operates through integrated roadmaps and embedded AI. You will perform end-to-end analytics using advanced SQL and AI to extract business insights that drive growth, while developing proofs-of-concept for innovative, AI-driven features. Your daily work involves leveraging data visualization tools like QlikSense and Tableau to improve team automation and self-service analytics. To succeed, you must possess strong programming skills in Python or R, experience with big data technologies such as Redshift, Spark, Hive, or BigQuery, and a high-level understanding of advanced statistical modeling and ML methodologies. You will translate complex business strategies into testable hypotheses while communicating findings to both technical and non-technical stakeholders across the organization.
Perform end-to-end analytics using advanced SQL and AI to extract insights that drive business growth.
Create data visualizations and dashboards using tools like QlikSense and Tableau to improve team automation.
Develop proofs-of-concept for innovative, AI-driven features or solutions.
Communicate findings and project progress clearly to both technical and non-technical stakeholders.
Create detailed documentation for research, model architectures, code, and experimental results.
Translate business strategies into testable hypotheses and actionable insights.
Build machine learning and GenAI models using Python or R to automate processes.
What we're looking for
Must be currently enrolled in a degree-seeking program with an expected graduation date after the internship ends.
Must be pursuing a Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
Students pursuing a Master's Degree are preferred.
Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
2+ years of relevant experience leveraging analytics to drive significant business impact.
Advanced proficiency in SQL, big data technologies (Redshift, Spark, Hive, BigQuery), and BI tools like Tableau or QlikSense.
Strong programming skills in Python or R, including experience building ML and GenAI models.
High-level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques.
Machine Learning
Deep Learning
Python
SQL
Generative AI
LLMs
NLP
ETL
Data Wrangling
Neural Networks
Statistical Analysis
Classification
Regression
Clustering
Time Series Forecasting
Generative AI
Reinforcement Learning
Neuro-symbolic AI
Python
PyTorch
TensorFlow
Natural Language Processing
Machine Learning
Decision Theory
Knowledge Representation
Constraint Satisfaction
Python
Java
SQL
Snowflake
AWS
Azure
Tableau
Power BI
Google Analytics
Machine Learning
Deep Learning
Salesforce
React
Node.js
JavaScript
HTML
UI Design
UX Research
API
DevOps