Intuit
3 days ago Be among the first 25 applicants
Overview
Intuits Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses (SMBs) to manage cash flow. At the heart of this mission, the QuickBooks Lending team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease. Overview
Intuits Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses (SMBs) to manage cash flow. At the heart of this mission, the QuickBooks Lending team is developing innovative solutions that empower customers 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 Marketplacea strategic growth initiative focused on connecting small and medium businesses with the most suitable loans from external lenders. By leveraging Intuits rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience. In this role, youll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience in fintech lending including credit card or marketplace analytics is a plus.
What you'll bring
Were looking for a curious, proactive data scientist with a passion for fintech.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field. 4+ years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces. Strong expertise in predictive modeling, customer segmentation, and experimentation design. Proven ability to form hypotheses based on customer behavior, industry trends, and market conditions. Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing. 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.
Technical Skills
Advanced SQL proficiency and hands-on experience with visualization tools such as Qlik, Tableau, or Plotly Dash. Strong analytical and modeling skills using Python (with libraries such as numpy, pandas, scikit-learn, etc.). Experience applying statistical and machine learning techniques to solve go-to-market and marketing problems (e.g., feature adoption propensity, churn risk scoring, next best action models).
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 and marketplace dynamics. Familiarity with Generative AI and other emerging technologies to accelerate insights from multimodal data sources.
How you will lead
Role
As a Senior Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes:
Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations. Driving strategic insights to shape the future of Intuits Lending Marketplace and positively impact millions of small and medium sized businesses Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations. Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience. Collaborating closely with cross-functional partners in Product Management, Marketing, Credit Underwriting, Engineering, Design, and Analytics to inform and guide product strategy. Translating complex data into clear, actionable insights for both technical and non-technical stakeholders Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
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Intuits Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses (SMBs) to manage cash flow. At the heart of this mission, the QuickBooks Lending team is developing innovative solutions that empower customers to confidently access the right loan offerings with greater ease. Overview
Intuits Global Business Solutions Group (GBSG) is committed to building tools and services that significantly enhance the ability of small and medium-sized businesses (SMBs) to manage cash flow. At the heart of this mission, the QuickBooks Lending team is developing innovative solutions that empower customers 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 Marketplacea strategic growth initiative focused on connecting small and medium businesses with the most suitable loans from external lenders. By leveraging Intuits rich customer data, this platform aims to deliver personalized loan offers and streamline the application experience. In this role, youll analyze both internal and lender data to uncover actionable insights, provide strategic recommendations, and help scale the marketplace rapidly. The ideal candidate will have a solid foundation in quantitative analysis, experience working with large datasets, and a strong background in data-driven decision-making. Prior experience in fintech lending including credit card or marketplace analytics is a plus.
What you'll bring
Were looking for a curious, proactive data scientist with a passion for fintech.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field. 4+ years of experience in data science and analytics in the fintech sector, ideally in lending, credit cards, or marketplaces. Strong expertise in predictive modeling, customer segmentation, and experimentation design. Proven ability to form hypotheses based on customer behavior, industry trends, and market conditions. Demonstrated success designing and interpreting complex experiments beyond traditional A/B testing. 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.
Technical Skills
Advanced SQL proficiency and hands-on experience with visualization tools such as Qlik, Tableau, or Plotly Dash. Strong analytical and modeling skills using Python (with libraries such as numpy, pandas, scikit-learn, etc.). Experience applying statistical and machine learning techniques to solve go-to-market and marketing problems (e.g., feature adoption propensity, churn risk scoring, next best action models).
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 and marketplace dynamics. Familiarity with Generative AI and other emerging technologies to accelerate insights from multimodal data sources.
How you will lead
Role
As a Senior Data Scientist on the Lending Data Science team, you will play a pivotal role in shaping strategy through deep analytical insights. This includes:
Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations. Driving strategic insights to shape the future of Intuits Lending Marketplace and positively impact millions of small and medium sized businesses Developing predictive models, conducting experiments beyond A/B testing, and uncovering customer insights to drive product, marketing, and lending innovations. Creating durable customer segmentation strategies to enhance targeting, positioning, and user experience. Collaborating closely with cross-functional partners in Product Management, Marketing, Credit Underwriting, Engineering, Design, and Analytics to inform and guide product strategy. Translating complex data into clear, actionable insights for both technical and non-technical stakeholders Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Intuit by 2x Get notified about new Senior Data Scientist jobs in
Phoenix, AZ . Scottsdale, AZ $177,000.00-$284,000.00 1 week ago Tempe, AZ $113,100.00-$232,300.00 1 day ago Senior Compliance Data Analyst, NAST S&C DAS
Tempe, AZ $42,000.00-$79,800.00 1 week ago Senior Compliance Data Analyst, NAST S&C DAS
Tempe, AZ $42,000.00-$79,800.00 1 week ago Scottsdale, AZ $123,500.00-$212,850.00 3 months ago Data Scientist - Generative AI/ML/Databricks - Remote
Mesa, AZ $88,453.00-$206,981.00 16 hours ago Phoenix, AZ $209,973.00-$235,400.00 1 day ago Scottsdale, AZ $110,000.00-$150,000.00 1 week ago Tempe, AZ $76,600.00-$157,200.00 1 day ago Scottsdale, AZ $150,000.00-$160,000.00 4 months ago Scottsdale, AZ $123,500.00-$212,850.00 1 month ago Scottsdale, AZ $123,500.00-$212,850.00 1 month ago Scottsdale, AZ $123,750.00-$198,000.00 1 week ago Scottsdale, AZ $131,182.00-$195,709.00 1 week ago Screening Platform & Filter Sr Data Scientist
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Tempe, AZ $143,300.00-$247,600.00 2 weeks ago Teradata ML Data Scientist With Clear Scape Analytics
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Phoenix, AZ $143,320.00-$257,970.00 1 day ago Scottsdale, AZ $123,500.00-$212,850.00 3 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr