Data Scientist - Visa Consulting & Analytics
Visa is hiring a Data Scientist - Visa Consulting & Analytics for a remote role open to applicants in India. Level rates it ; you can apply on Visa.
Level's read on this job
- On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Python, SQL and R.
- Level classifies it as a senior role.
- Level lists 826 other open roles at Visa.
AI in this role
Execute data analytics projects and credit card portfolio strategies as a Data Scientist for Visa Consulting and Analytics.
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.
How we rate this
Data Scientist - Visa Consulting & Analytics at Visa rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where credit card strategies was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where retail banking was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Credit Card Strategies, Analytics, Retail Banking, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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