Data Scientist - Visa Consulting & Analytics

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-12

Job description

About Us
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.

Job Description

Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers, and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

The individual will be part of VCA Data Science team, under Visa Implementation Services (VIS) vertical and will be responsible for delivering data analytics projects with Visa client. The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management.

What a Data Scientist, Visa Consulting & Analytics does at Visa:
The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead. This position will be embedded at client office and based in Bangalore.

The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value.

Key responsibilities include:

• Execute and deliver data analytics projects for the Visa client
  Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.
• Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure.
• Explore leading methodologies, best practices and import successful methodologies from other international markets
• Effectively interact with clients and manage internal/external stakeholder communication

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Visa Pay for this occupation (BLS) All 119 open jobs for this occupation

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Visa. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

The closest occupation in the official wage statistics is Data scientists (a match by name, so treat it as an estimate). Nationally its median pay is $120,230 a year (BLS OEWS, May 2025), employment is projected to change by +34.6% between 2025 and 2035, and the typical entry route is: Bachelor's degree.

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How to prepare and behave

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• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
• Be honest about gaps; say what you did to learn and how fast you can close them.
• Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
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• Send a short thank-you message within a day, mentioning one thing you discussed.
• The listing mentions a remote or flexible location. Confirm with the employer whether remote work applies to your state: taxes, licensing and benefits can depend on where you live.
• Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

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The city

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Where to live

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Career paths

Occupations close to Data scientists in the official classification, with pay, outlook and whether there are open jobs for them on this site right now.

Distances

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The employer

Visa is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Visa

Similar jobs

Same sub-niche: Data, analytics and AI

All Data, analytics and AI jobs → · All Technology sub-niches →

FAQ

What is the Data Scientist - Visa Consulting & Analytics job at Visa?

A senior level role in technology (data, analytics and ai) listed 27 days ago. The full description is on this page and on The Muse.

Where is this job?

Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay. For the closest occupation (Data scientists) the national median is $120,230 a year (BLS OEWS, May 2025).

What is the cost of living there?

See the state or country guide for rent, income and taxes.

How old is this listing?

It was posted on 2026-10-12 (27 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in the United States.

Sources and terms

• Job data: The Muse public API (listing dated 2026-10-12). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)