Job Description

Category Data


Location Bangalore, India


Job ID 2025-73504



Company Overview


Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.


Job Overview


Come join the Intuit Data Exchange (IDX) team as part of the Intuit as a Principal Scientist. We are looking for creative problem solvers with a passion for innovation to join our team and revolutionize the way the world does business. You will be deploying AI/GenAI solutions to simplify acquisition of data and documents from '000s of providers WW while maintaining trust. The structured data acquired is used in workflows from Personal Finance, Taxes and running businesses, thus powering prosperity around the world. Your job includes the following:


Responsibilities


Drives architecture decisions, influences and contributes to ML platform architecture and strategy Creates a multi-year vision that connects product strategy with technology strategy Practices excellent leadership and communication skills to influence and lead teams and evangelize AI across the organization and the larger company Leads team's work in one or more of ML, NLP, Statistics, or Optimization, and performs hands-on work in these domains. Weighs ROI considerations of general and tailored capabilities for projects in the team
Creates new capabilities and technology shifts that solve critical business problems
Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends Influences business leaders and architects around the company to shape mission-critical projects
Leads team and partners to the successful delivery and integration of ML solutions
Conducts design reviews, and holds teams to technical and operational rigor. Acts as an advisor in overseeing and mentoring the work of colleagues toward the building of a vibrant practice community
Qualifications


PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field or equivalent work experience Solid knowledge of statistical techniques 3+ years as either a lead in a data science role or a management position in data science Strong communication skills and proven experience as an influencer at the executive level Hands-on programming experience in one or more of: ML, NLP, Statistics, or Optimization 6+ years' experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.) 6+ years' experience with a general-purpose programming language (e.g. Python, Scala, etc.)

Strongly Preferred:

PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Expert knowledge and hands-on experience in one or more of: ML, NLP, Statistics, or Optimization Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code Proven track record of influencing business leaders to shape mission-critical projects Proven track record of leading teams to successful delivery of ML solutions * Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel