Data Scientist - Visa Consulting & Analytics

Visa
India
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Client-centric","Data storytelling","Stakeholder communication"]

Join the VCA Data Science team to deliver high-impact analytics projects for Visa clients across strategy, card profitability, product acquisitions, customer engagement, and portfolio management. You’ll drive credit card portfolio strategies using Visa and third-party data, advocate analytics best practices with partners, and challenge assumptions on data sources, tools, talent, and infrastructure. The role is remote but embedded at client needs, based in Bangalore, with reporting to the squad lead.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Visa
Visa
2 months ago

Data Scientist - Visa Consulting & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Join the VCA Data Science team to deliver high-impact analytics projects for Visa clients across strategy, card profitability, product acquisitions, customer engagement, and portfolio management. You’ll drive credit card portfolio strategies using Visa and third-party data, advocate analytics best practices with partners, and challenge assumptions on data sources, tools, talent, and infrastructure. The role is remote but embedded at client needs, based in Bangalore, with reporting to the squad lead.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deliver data analytics projects for Visa clients.
  • •Drive credit card portfolio strategies using client data and/or sources such as Visa and third-party data.
  • •Serve as an analytics advocate to advise partners and share best practices and case studies.
  • •Continuously challenge assumptions about new data sources, analytics partners, tools, talent, and infrastructure.
  • •Interact with clients and manage internal/external stakeholder communication.

Key Requirements

  • •2+ years of relevant work experience with a Bachelors degree, or 5+ years of relevant work experience.
  • •Experience applying statistical solutions to business problems (minimum 3+ years).
  • •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, or Hive.
  • •Degree in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent.
Experience:2+ yearsBankingCardsPaymentsData analyticsConsulting
Education:Bachelor's in Quantitative field (e.g., Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering)
Skills:Analytical thinkingProblem-solvingClient-centricData storytellingStakeholder communication
Tech Stack:SASHadoopRSQLPythonHiveMS ExcelPowerPoint

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor