Intuit Inc.
Intuit’s Global Business Solutions Group (GBSG) is committed to building tools and services thatsignificantly enhance the ability of small and medium-sized businesses to manage cash flow. At theheart of this mission, the QuickBooks Capital team is developing innovative solutions that empowercustomers to confidently access the right loan offerings with greater ease.
The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for the Lending Product —a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit’s rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience.
In this role, you’llanalyze both internal and lender data to uncover actionable insights, provide strategicrecommendations, and help scale the marketplace rapidly. The ideal candidate will have a solidfoundation in quantitative analysis, experience working with large datasets, and a strong backgroundin data-driven decision-making. Prior experience in fintech lending including credit card ormarketplace analytics is a plus.
Responsibilities As a Senior Data Scientist on the Lending Data Science team, you will play a pivotal role in shapingstrategy through deep analytical insights. This includes:
Conceptualizing business opportunities, formulating hypotheses, defining goals and keymetrics, and delivering actionable recommendations.
Driving strategic insights to shape the future of Intuit’s Lending Marketplace and positivelyimpact millions of small and medium sized businesses
Developing predictive models, conducting experiments beyond A/B testing, and uncoveringcustomer insights to drive product, marketing, and lending innovations.
Creating durable customer segmentation strategies to enhance targeting, positioning, anduser experience.
Collaborating closely with cross-functional partners in Product Management, Marketing,Engineering, and Design to inform and guide product strategy.
Translating complex data into clear, actionable insights for both technical and non-technicalstakeholders
Qualifications
We’re looking for a curious, proactive data scientist with a passion for fintech.
4-8 years of experience in data science and analytics in the fintech sector, ideally in lending,credit cards, or marketplaces.
Proven ability to form hypotheses and find business opportunities based on customerbehavior, industry trends, and market conditions.
Demonstrated success designing and interpreting complex experiments beyond traditionalA/B testing.
Strong expertise in predictive modeling, customer segmentation, and experimentation design.
Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
Excellent communication and stakeholder influence skills across business and technical teams.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering,Econometrics, or a related field.
Technical Skills
Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau
Strong analytical and modeling skills using Python or R
Experience applying statistical and machine learning techniques to solve go-to-market andproduct problems
Preferred Additional Qualifications
Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs.
Understanding of lending product nuances.
Mix of product and marketing data science and/or analytics experience.
Experience scaling multi-sided marketplace companies.
Familiarity with Generative AI and other emerging technologies
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The Lending Data Science team is seeking an experienced Data Scientist to lead data science and analytics for the Lending Product —a strategic growth initiative focused on connecting small and medium businesses with the most suitable loans. By leveraging Intuit’s rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience.
In this role, you’llanalyze both internal and lender data to uncover actionable insights, provide strategicrecommendations, and help scale the marketplace rapidly. The ideal candidate will have a solidfoundation in quantitative analysis, experience working with large datasets, and a strong backgroundin data-driven decision-making. Prior experience in fintech lending including credit card ormarketplace analytics is a plus.
Responsibilities As a Senior Data Scientist on the Lending Data Science team, you will play a pivotal role in shapingstrategy through deep analytical insights. This includes:
Conceptualizing business opportunities, formulating hypotheses, defining goals and keymetrics, and delivering actionable recommendations.
Driving strategic insights to shape the future of Intuit’s Lending Marketplace and positivelyimpact millions of small and medium sized businesses
Developing predictive models, conducting experiments beyond A/B testing, and uncoveringcustomer insights to drive product, marketing, and lending innovations.
Creating durable customer segmentation strategies to enhance targeting, positioning, anduser experience.
Collaborating closely with cross-functional partners in Product Management, Marketing,Engineering, and Design to inform and guide product strategy.
Translating complex data into clear, actionable insights for both technical and non-technicalstakeholders
Qualifications
We’re looking for a curious, proactive data scientist with a passion for fintech.
4-8 years of experience in data science and analytics in the fintech sector, ideally in lending,credit cards, or marketplaces.
Proven ability to form hypotheses and find business opportunities based on customerbehavior, industry trends, and market conditions.
Demonstrated success designing and interpreting complex experiments beyond traditionalA/B testing.
Strong expertise in predictive modeling, customer segmentation, and experimentation design.
Experience in building scalable, reusable analytics tools and avoiding redundant efforts.
Excellent communication and stakeholder influence skills across business and technical teams.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering,Econometrics, or a related field.
Technical Skills
Advanced SQL proficiency and hands-on experience with visualization tools such as Tableau
Strong analytical and modeling skills using Python or R
Experience applying statistical and machine learning techniques to solve go-to-market andproduct problems
Preferred Additional Qualifications
Experience addressing growth-related challenges at fintech companies focused on lending, credit cards, or marketplaces serving consumers or SMBs.
Understanding of lending product nuances.
Mix of product and marketing data science and/or analytics experience.
Experience scaling multi-sided marketplace companies.
Familiarity with Generative AI and other emerging technologies
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