Artificial Intelligence Scientist Jobs at Intuit with Visa Sponsorship
Artificial Intelligence Scientist jobs at Intuit involve building intelligent financial tools used by millions of people, and the company has a well-established track record of sponsoring work visas across this function. If you're an international candidate targeting AI roles in the fintech space, Intuit is a serious option.
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Credit Karma is looking for a Senior AI Scientist to join our Partner Decision Science team — the group at the center of how the country's largest banks and fintech lenders build, target, and approve on the Credit Karma Lightbox platform. In this role, you will be the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at our partners, turning their objectives into production models that increase conversion and revenue while giving our members greater certainty that they'll be approved for the products they're matched with.
This is a highly cross-functional role. You will partner closely with internal business development, engineering, product, and data and analytics teams, as well as with external partner teams that range from hands-on analysts to senior leaders. Success depends as much on your ability to influence and translate across these audiences as it does on your technical depth — we are looking for a scientist who can go deep in the data and models, then clearly explain the "so what" to a room of business and partner stakeholders.
You will pair strong machine learning skills with real business acumen, applying techniques that span credit-risk and targeting modeling, recommendation and ranking, experimentation, and — where it adds value — generative AI, all in service of the most relevant, best-timed financial recommendations for our members.
Responsibilities
- Serve as the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at partner banks and fintech lenders, ensuring partner data and modeling requirements are met end to end.
- Design, build, and optimize large-scale targeting and approval models that grow conversion and revenue for Credit Karma and its partners while improving approval certainty for members.
- Advance the partner modeling toolkit — feature engineering on consumer credit and bureau data, modern ML methods, and emerging GenAI applications — to lift partner model performance and member relevance.
- Build strong relationships with partner data science and risk teams, from individual contributors to managers and directors, and coach them on the capabilities of the Credit Karma platform.
- Partner cross-functionally with internal business development, engineering, product, and data and analytics teams to translate partner needs into platform capabilities and move models into production.
- Represent the Partner Decision Science team in cross-functional and partner-facing meetings, translating complex technical subject matter for executive and non-technical audiences and advocating for partners inside Credit Karma and for Credit Karma with partners.
- Act like an owner: identify high-impact opportunities across the partner portfolio, propose solutions, and see them through to production and measurable results.
Qualifications
- MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent applied experience).
- Approximately 5+ years in credit-risk analytics, data science, or risk management — at a bank, fintech, or credit bureau — with work spanning credit underwriting, model development, or customer valuation.
- Deep, hands-on understanding of credit data, including bureau attributes, risk scores, and alternative data sources.
- Expert proficiency in Python and SQL, with experience in modern ML frameworks and comfort operating on large-scale data (e.g., BigQuery or a comparable warehouse).
- Proven ability to explain complex modeling concepts to non-technical and executive stakeholders and to connect model performance to business outcomes.
- Exceptional verbal and written communication skills, with the ability to convey complex ideas and influence senior audiences in their decision-making.
- External partner-facing experience is a plus.
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. The expected base pay range for this position is:
Overview
Credit Karma is looking for a Senior AI Scientist to join our Partner Decision Science team — the group at the center of how the country's largest banks and fintech lenders build, target, and approve on the Credit Karma Lightbox platform. In this role, you will be the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at our partners, turning their objectives into production models that increase conversion and revenue while giving our members greater certainty that they'll be approved for the products they're matched with.
This is a highly cross-functional role. You will partner closely with internal business development, engineering, product, and data and analytics teams, as well as with external partner teams that range from hands-on analysts to senior leaders. Success depends as much on your ability to influence and translate across these audiences as it does on your technical depth — we are looking for a scientist who can go deep in the data and models, then clearly explain the "so what" to a room of business and partner stakeholders.
You will pair strong machine learning skills with real business acumen, applying techniques that span credit-risk and targeting modeling, recommendation and ranking, experimentation, and — where it adds value — generative AI, all in service of the most relevant, best-timed financial recommendations for our members.
Responsibilities
- Serve as the technical bridge between Credit Karma's decision-science platform and the data science and credit-risk teams at partner banks and fintech lenders, ensuring partner data and modeling requirements are met end to end.
- Design, build, and optimize large-scale targeting and approval models that grow conversion and revenue for Credit Karma and its partners while improving approval certainty for members.
- Advance the partner modeling toolkit — feature engineering on consumer credit and bureau data, modern ML methods, and emerging GenAI applications — to lift partner model performance and member relevance.
- Build strong relationships with partner data science and risk teams, from individual contributors to managers and directors, and coach them on the capabilities of the Credit Karma platform.
- Partner cross-functionally with internal business development, engineering, product, and data and analytics teams to translate partner needs into platform capabilities and move models into production.
- Represent the Partner Decision Science team in cross-functional and partner-facing meetings, translating complex technical subject matter for executive and non-technical audiences and advocating for partners inside Credit Karma and for Credit Karma with partners.
- Act like an owner: identify high-impact opportunities across the partner portfolio, propose solutions, and see them through to production and measurable results.
Qualifications
- MS in Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline (or a BS with equivalent applied experience).
- Approximately 5+ years in credit-risk analytics, data science, or risk management — at a bank, fintech, or credit bureau — with work spanning credit underwriting, model development, or customer valuation.
- Deep, hands-on understanding of credit data, including bureau attributes, risk scores, and alternative data sources.
- Expert proficiency in Python and SQL, with experience in modern ML frameworks and comfort operating on large-scale data (e.g., BigQuery or a comparable warehouse).
- Proven ability to explain complex modeling concepts to non-technical and executive stakeholders and to connect model performance to business outcomes.
- Exceptional verbal and written communication skills, with the ability to convey complex ideas and influence senior audiences in their decision-making.
- External partner-facing experience is a plus.
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. The expected base pay range for this position is:
See all 40+ Artificial Intelligence Scientist Jobs at Intuit
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Artificial Intelligence Scientist Jobs at Intuit.
Get Access To All JobsTips for Finding Artificial Intelligence Scientist Jobs at Intuit
Align your research background to financial AI
Intuit's AI work centers on tax automation, natural language processing for financial documents, and personalized money insights. Frame your CV around applied ML systems that affect real users at scale, not pure research publications.
Prepare your credential documentation early
For H-1B and E-3 petitions, USCIS requires evidence that your degree directly supports the role. Get your transcripts evaluated by a NACES-accredited service before you receive an offer, so you're not scrambling after signing.
Clarify your visa type during the offer stage
Intuit sponsors multiple visa categories, and which one applies to you affects your timeline. Australian citizens should specifically ask about E-3 eligibility during offer negotiation, since it processes faster and doesn't depend on the H-1B lottery.
Use Migrate Mate to target Intuit AI openings
Artificial Intelligence Scientist roles at Intuit open and close quickly. Use Migrate Mate to filter specifically for Intuit positions that include visa sponsorship, so you're applying to active roles rather than chasing outdated listings.
Understand OPT cap-gap before your start date
If you're transitioning from F-1 OPT and your H-1B is filed before the April 1 deadline, cap-gap protection keeps you authorized through October 1. Confirm your OPT expiration date with your DSO before accepting a summer start date.
Verify your I-140 strategy for long-term sponsorship
For candidates from India or China, Intuit's willingness to file an EB-2 or EB-3 I-140 early matters significantly given green card backlogs. Raise green card sponsorship in the offer negotiation, not after you've already started.
Frequently Asked Questions
Does Intuit sponsor H-1B visas for Artificial Intelligence Scientists?
Yes, Intuit sponsors H-1B visas for Artificial Intelligence Scientists. The company has a consistent track record of filing H-1B petitions for technical roles, including those in machine learning and AI research. Because H-1B sponsorship depends on the annual lottery, timing your application cycle and having your documents in order before the March registration window matters.
Which visa types are commonly used for Artificial Intelligence Scientist roles at Intuit?
Intuit sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Cards including EB-2 and EB-3 for this role. Australian citizens are well-positioned to pursue the E-3 visa, which has no lottery and processes at the consulate. Canadian and Mexican citizens may qualify for TN visa status under the USMCA, which is employer-filed and faster than H-1B.
How do I apply for Artificial Intelligence Scientist jobs at Intuit?
You can browse and apply for Artificial Intelligence Scientist roles at Intuit through Migrate Mate, which filters specifically for positions open to international candidates requiring visa sponsorship. When applying, tailor your application to highlight experience with production ML systems, NLP, or AI applied to financial data, since those map directly to Intuit's core product areas.
What qualifications does Intuit typically expect for Artificial Intelligence Scientist roles?
Intuit generally expects a master's or Ph.D. in computer science, machine learning, statistics, or a closely related field for Artificial Intelligence Scientist positions. Hands-on experience building and deploying ML models at scale, familiarity with large language models or NLP pipelines, and the ability to translate research into product-facing features are all strong signals for this role.
How do I plan my timeline around visa sponsorship when targeting Intuit?
If you need H-1B sponsorship, Intuit must file your petition in April for an October 1 start date, so receiving an offer by late February or early March is critical. For E-3 or TN candidates, consular processing typically runs two to four weeks, giving more scheduling flexibility. OPT candidates should confirm their authorization end date with their DSO before committing to a start date.