Intuit Grace Hopper 2026 - Data & AI Science

Intuit; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Intuit powers prosperity for 100 million customers worldwide. At Grace Hopper 2026, Intuit seeks data scientists and AI scientists to build models shaping financial outcomes for people and small businesses. You will analyze large datasets, develop ML models, and translate findings into business recommendations.

Join a team that values experimentation and AI-driven insight. The role emphasizes collaboration across product, marketing, and engineering to accelerate analytics impact and deliver

Qualifications

• Bachelor's degree in Computer Science, Statistics, Applied Math, or a related technical field, or equivalent practical experience
• 3+ years of experience in data science, applied AI/ML, or a related analytical field
• Proficiency in Python or R, SQL, and modern statistical or machine learning methods
• Experience with data visualization and communicating technical findings to non-technical audiences
• Comfort working with large-scale data platforms (e.g., Spark, cloud data warehouses)
• Curiosity and fluency with AI tools, and a track record of using them to speed up analysis, coding, or research

Responsibilities

• Analyze large, complex datasets to develop insights and recommendations that inform product and business decisions
• Build, test, and deploy machine learning and AI models, using both analytical and deep learning approaches
• Design and interpret experiments (A/B tests, causal inference) to measure impact and guide next steps
• Partner with cross-functional teams to translate technical findings into clear, actionable business recommendations
• Apply AI-native development practices to accelerate analysis, prototyping, and insight generation

Skills

Python

R

SQL

ML methods

Data visualization

Communication

Spark

AI tools

Education

Bachelor's degree in CS/Statistics/Applied Math or related field

Tools

Spark

Cloud data warehouses

Job description

Overview

Intuit powers prosperity for 100 million customers around the world, and our Data & AI Science teams turn that data into the insights and intelligent systems that make TurboTax, QuickBooks, Credit Karma, and Mailchimp smarter every day. At Grace Hopper 2026, we're looking to connect with data scientists and AI scientists who want to build models that directly shape financial outcomes for real people and small businesses.

Responsibilities

• Analyze large, complex datasets to develop insights and recommendations that inform product and business decisions

• Build, test, and deploy machine learning and AI models, using both analytical and deep learning approaches

• Design and interpret experiments (A/B tests, causal inference) to measure impact and guide next steps

• Partner with cross-functional teams to translate technical findings into clear, actionable business recommendations

• Apply AI-native development practices to accelerate analysis, prototyping, and insight generation

Qualifications

• Bachelor's degree in Computer Science, Statistics, Applied Math, or a related technical field, or equivalent practical experience

• 3+ years of experience in data science, applied AI/ML, or a related analytical field

• Proficiency in Python or R, SQL, and modern statistical or machine learning methods

• Experience with data visualization and communicating technical findings to non-technical audiences

• Comfort working with large-scale data platforms (e.g., Spark, cloud data warehouses)

• Curiosity and fluency with AI tools, and a track record of using them to speed up analysis, coding, or research