Data Scientist - Visa Consulting & Analytics
IN - Remote - IND
- Pay
- Pay not listed
- Work setting
Working pattern needs review — work setting source
What you will need: We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications
Listed location: IN - Remote - IND
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- Not stated
- Work authorization
- Not stated
What you’ll work on
Full postingExecute and deliver data analytics projects for Visa clients
Drive credit card portfolio strategies using client and other data
Advise client teams and share analytics best practices and case studies
Test new data sources, tools and methods against current assumptions
Interact with clients and manage stakeholder communication
From the employer’s posting
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
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.
Effectively interact with clients and manage internal/external stakeholder communication
What you’ll bring
All qualificationsCore experience
- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred experience
- 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.
Qualification wording
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
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)
Education & alternatives
Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications:
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) We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent Minimum 3+ years of analytics experience in applying statistical solutions to business problems Experience in credit card analytics, and/or retail banking analytics Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint Self-motivated, results oriented individual with ability to handle multiple projects concurrently Experience in working closely with data science community Visa is an EEO Employer
Tools in this posting
- Python
- R
- SAS
- SQL
- Excel
- Hadoop
- Hive
Source — Tool mentions in context
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent Minimum 3+ years of analytics experience in applying statistical solutions to business problems Experience in credit card analytics, and/or retail banking analytics Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint Self-motivated, results oriented individual with ability to handle multiple projects concurrently Experience in working closely with data science community Visa is an EEO Employer
Posting record
Report an errorOpen 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 153 days ago
- Recorded sightings
- 310
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on visa.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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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
Why this is important to Visa
As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.
What you will need:
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.
Qualifications
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
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)
We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
Minimum 3+ years of analytics experience in applying statistical solutions to business problems
Experience in credit card analytics, and/or retail banking analytics
Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
Self-motivated, results oriented individual with ability to handle multiple projects concurrently
Experience in working closely with data science community
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
IN - Remote - IND
What you will need: We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications
- Work authorization
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.
More source context
Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent Minimum 3+ years of analytics experience in applying statistical solutions to business problems Experience in credit card analytics, and/or retail banking analytics Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint Self-motivated, results oriented individual with ability to handle multiple projects concurrently Experience in working closely with data science community 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.
More relevant text appears in the full description.
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