
Data Scientist
2 days ago
**Company Description**
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators, and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
**You're** an Individual. **We're** the team for you. **Together**, let's transform the way the world pays.
**About Visa Consulting & Analytics**
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 Managed Services (VMS) 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**:
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:
- 3+ 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)
- Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
- Experience in credit cards, 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
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