SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Intuit is seeking a Principal AI Scientist to join its collaborative AI and machine learning team in Bengaluru. You will build and deploy machine learning models that directly impact hundreds of thousands of customers across Intuit's financial technology platform (TurboTax, Credit Karma, QuickBooks, Mailchimp).
In this role, you will lead technical work in machine learning, NLP, statistics, or optimization, with applications spanning marketing audiences, brand management, generative engine optimization, price optimization, creative generation, and digital twins. You will practice excellent leadership and communication to influence and evangelize AI science across the organization.
Key responsibilities include: leading team work in ML/NLP/Statistics/Optimization domains with hands-on technical contribution; weighing ROI considerations for general and tailored capabilities; creating new capabilities that solve critical business problems; pushing ML boundaries through foundational methods and novel applications; influencing business leaders on mission-critical projects; creating multi-year vision connecting product and technology strategy; driving architecture decisions for ML platform strategy; leading teams to successful delivery and integration of ML solutions; conducting design reviews; and mentoring colleagues to build a vibrant practice community.
You will need a PhD or MS in Engineering, Mathematics, Statistics, Theoretical/Computational Physics, or related field. Required qualifications include 3+ years as an AI science lead or in AI science management; 6+ years manipulating large datasets with databases (R, SQL, S-Plus); 6+ years with general-purpose programming languages (Python, Scala); expert knowledge of ML pipelines, processes, and design patterns; solid statistical techniques knowledge; hands-on expertise in ML, NLP, Statistics, or Optimization; proven track record influencing business leaders on mission-critical projects; and proven track record leading teams to successful ML solution delivery. Background in marketing platforms, media management, cognitive sciences, human psychology, or consumer/buyer behavioral sciences is valued. Strong communication skills and executive-level influence experience required.
