Principal AI Scientist

Intuit; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Comprehensive benefits

Job summary

Intuit is seeking a lead in AI science based in Bengaluru, India. This role focuses on building and deploying machine learning models that influence marketing and creative strategies. Candidates should have a PhD or MS in a relevant field, with at least 3 years leading teams in AI science. Strong programming skills and a track record of influencing business leaders are essential. Competitive compensation with potential bonuses and equity rewards offered.

Qualifications

• PhD or MS in a related field is required.
• 3+ years of experience in an AI science lead role.
• Strong communication skills and proven influencing experience.

Responsibilities

• Lead teams in ML, NLP, Statistics, or Optimization.
• Create capabilities to solve critical business problems.
• Influence business leaders in project decisions.

Skills

Leadership and communication skills

Machine Learning (ML)

Natural Language Processing (NLP)

Statistics

Optimization

Programming (Python, SQL)

Data manipulation

Education

PhD or MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics

Tools

Python

SQL

R

Job description

Overview

C​ome join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas such as marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, and digital twins, among others. The world of marketing is changing dramatically, and we are waiting for you to join us and do the best work of your life.

Responsibilities

• Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization.
• 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 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 to shape mission‑critical projects.
• Creates a multi‑year vision that connects product strategy with technology strategy.
• Drives architecture decisions and contributes to ML platform architecture and strategy.
• Leads team and partners to the successful delivery and integration of ML solutions.
• Conducts design reviews, holds teams to technical and operational rigor.
• Acts as an advisor in overseeing and mentoring the work of colleagues towards building a vibrant practice community.

Qualifications

• PhD or MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or a related field.
• Prior experience or qualifications in marketing platforms and media management. Experience in cognitive sciences or human psychology (understanding consumers, buyers, supporters, detractors, group behavioral sciences) is a plus.
• Solid knowledge of statistical techniques.
• 3+ years as a lead in an AI science role or in a management position in AI science.
• Strong communication skills and proven experience influencing at the executive level.
• Hands‑on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization.
• 6+ years of experience manipulating large datasets and using databases (e.g., R, SQL, S‑Plus).
• 6+ years of experience with a general‑purpose programming language (e.g., Python, Scala).
• Expert knowledge and hands‑on experience with ML pipelines, processes, and design patterns.
• Proven track record of influencing business leaders to shape mission‑critical projects.
• Proven track record of leading a team to the successful delivery of ML solutions.
• Strong interpersonal and communication skills that enable effective contributions to technical teams and presentations to a variety of technical and business personnel.

Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position may be eligible for a cash bonus, equity rewards, and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.