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Data Scientist at Visa

Short Description:

The Data Scientist role at Visa Mumbai involves supporting clients' data science initiatives, creating strategic Tableau dashboards, and delivering insights for business optimization. It requires 3-5 years of quantitative analysis experience, proficiency in SQL, Tableau, and strong communication skills. Visa aims to shape the future of payments through innovative data strategies and inclusive economies.



 

Position: Data Scientist

Location: Mumbai

Job Type: Full-time

Company Description:

Visa is a global leader in digital payments, facilitating over 215 billion payment transactions between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. The company's mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, empowering individuals, businesses, and economies to prosper.

When you become part of Visa, you join a culture of purpose and belonging, where your growth is a priority, your identity is celebrated, and the work you do is meaningful. Visa believes that inclusive economies elevate everyone, everywhere, and your work will directly impact billions of people worldwide, helping unlock financial access and shape the future of money movement.

Job Description

Team Summary:

Visa Consulting and Analytics (VCA) is Visa's consulting division, dedicated to serving Visa's clients, including card issuers, acquirers, and merchants. VCA focuses on addressing strategic challenges related to improving performance and profitability. Leveraging expertise in strategy consulting, payments, data analytics, marketing, operations, and macroeconomics, VCA delivers high-impact, financially tangible results.

The Data Scientist will be part of the VCA Data Science geographic team cluster for India and South Asia (INSA) markets. The role involves supporting data science initiatives with Visa's clients. The team provides a wide range of consulting services and data-driven solutions, addressing unique challenges in areas such as strategic growth, profitability, risk management, digital strategy, and portfolio management.

What a Data Scientist, Visa Consulting & Analytics does at Visa:

As a member of the VCA Data Science team in Asia Pacific, you will report to the Senior Manager in the INSA cluster and be based in Visa's Mumbai office. In this role, you will support the development and implementation of analytics-driven strategies, providing high-impact solutions for Visa's clients. Your responsibilities include bringing prior experience in data science, modeling, and data-driven insights to solve complex problems and unlock business value.

Key responsibilities include:

  • Supporting and delivering data science initiatives for India and South Asia clients using multiple data sources.
  • Developing strategic benchmarking dashboards in Tableau for top banks and fintechs in the India and South Asia market to assist in portfolio management and optimization.
  • Storyboarding and deriving insights from the dashboards while identifying any market gaps.
  • Effectively communicating findings, recommendations, and data-driven insights to clients and stakeholders.
  • Ensuring consistency, standards, and quality control of deliverables, with up-to-date coding and project documentation.
  • Optimizing and automating benchmarking dashboards through collaboration with Hub teams, Data engineering teams, and IT.
  • Managing time effectively across multiple reports/projects and ensuring timely delivery to clients while maintaining accuracy.
  • Communicating with clients to understand business requirements and perform end-to-end scoping for project deliverables.
  • Assisting in pitching benchmarking dashboards to various clients and resolving queries promptly.
  • Identifying opportunities for innovation by utilizing Visa data, client data, and non-traditional data to address the specific needs of clients.

Why this role is important to Visa:

As the payments consulting arm of Visa, VCA is building a highly specialized team of experts to provide top-tier payment expertise and data-driven strategies to clients. The team is creating a high-performance group of data scientists, data analysts, and statisticians dedicated to helping major organizations adapt and evolve to meet the technological, financial, and commercial changes with innovative, advanced analytic solutions. The goal is to assist Visa's clients in growing their businesses and solving problems through data-driven consulting services.

Qualifications

What you will need:

  • A Bachelor's degree (a Master's degree is an advantage) in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience.
  • 3-5 years of experience in data-based quantitative analysis or predictive modeling.
  • Proficiency in extracting and aggregating data from large data sets using SQL, Hive, Spark, or other data extraction tools.
  • Proficiency with Tableau, Hive, SQL, PowerPoint, and Excel.
  • Hands-on experience and proficiency in designing and building dashboards independently using Tableau.
  • Excellent analytical skills with a demonstrated ability to solve business problems with data.
  • Excellent communication skills (both verbal and written).
  • Self-motivated with the ability to manage multiple priorities concurrently.
  • Willingness to travel 20% or more.

What will also help:

  • Exposure or prior work experience in the payments and/or banking industry.
  • Strong skills in MS Excel and PowerPoint.

Additional Information

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

Please click here to apply.

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