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Data Scientist, (AI/ML) – Visa Consulting and Analytics

Visa

Data Scientist, (AI/ML) – Visa Consulting and Analytics

Visa

Toronto

·

On-site

·

Full-time

·

3d ago

The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 4 billion cards globally and captures more than 190 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing scope of work capabilities at the intersection of data science, analytics and AI, we are looking for Senior Data Scientists who are passionate and leading team members and solving complex data problems using Visa rich dataset and technical toolkit. You will join one of the Data Science focus areas (e.g., merchants, issuers, enablers, fintechs) and have the opportunity to engage across the Data Science teams, providing broad exposure to Visa’s business.

Essential Functions:

  • Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
  • Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
  • Leverage AI coding tools (e.g., GitHub Copilot, Claude Code, Cline, OpenAI Codex) to accelerate development
  • Apply data science and GenAI techniques to analyze transaction data and deliver actionable client insights
  • Build agentic AI systems with multi-step reasoning, tool use, and memory for complex payment decisioning workflows
  • Work with your data science colleagues as well as other teams across Visa to guide the critical thinking for our clients by using the data and tools available to you
  • Connect with clients as well as client teams regarding the results and strategic recommendations advised by your analyses
  • Develop visualizations to make your sophisticated analyses accessible to a broad audience
  • Find opportunities to craft products out of analyses that are suitable for multiple clients
  • Work with partners throughout the organization to explore opportunities for using Visa data to drive business solutions

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications:

  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • 2+ years’ experience in data-based decision-making or quantitative analysis, including exposure to LLMs and GenAI applications
  • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
  • Experience in understanding and analyzing data using Python or Other statistical software
  • Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark or other tools
  • Experience and comfort with machine learning techniques and accompanying packages.
  • Experience with LLM orchestration frameworks (Lang Chain or similar), vector databases, and embedding models
  • Competence in Excel, Power

Point and Tableau:

  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Visa is looking to fill vacant position Data Scientist, (AI/ML) – Visa Consulting and Analytics. The anticipated compensation range for this position is 106,596 CAD to 156,596 CAD per year, which includes sales incentive payments/annual bonus. Visa has a comprehensive benefits package for which this position is eligible that includes Medical, Dental, Vision, Employee Stock Purchase Program, Life Insurance, Paid Vacation and Wellness Programs. Visa may use artificial intelligence when assessing and selecting candidates.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa welcomes and encourages applications from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

1 reports

$106,195

total / year

Base

$92,300

Stock

-

Bonus

-

$106,195

$106,195

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design