Data Scientist

**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.
**Job Description** Team Summary**:
Visa Consulting & 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, data modelling, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. Currently the team has 1500+ professionals (including consultants, data scientists, designers, digital marketers and economists) globally with 2,350+ projects executed in 2024. Key focus area of VCA is to drive Value-in-kind (VIK) revenue, include consulting VIK to displace cash incentives in every new or renewal client deals and build a strong team of data scientists and consultants.

The incumbent will be part of VCA geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar, and Cambodia (IPVMC) markets, and will be responsible for delivering data science engagements for Visa's clients in this cluster. These are highly diversified geographies with clients at different levels of progress. You will be challenged to stretch your thinking and innovation is always an edge to the work that we do.

**What a Data Scientist will do** and learn at Visa**:
The Data Scientist will serve as an individual contributor and a member of the VCA IPVMC Data Science team, reporting to the Data Solutions Lead for IPVMC. This position will be based in Visa's India office in Bengaluru.

Key responsibilities include:

- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
- Support project scoping, defining methodology, creating and executing on the framework with appropriate data mining techniques
- Support business development discussions on data science solutions, understand and gather client requirements and articulate clearly on solution frameworks
- Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact
- Independently develop and drive storyline with a clear so what and logical flow of insights and recommended actions for clients
- Work with VisaNet (i.e., Visa’s transaction data), clients and 3rd party data sources to create advanced data-driven solutions and dashboards
- Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients
- Engage with external clients, and manage internal and external stakeholders

**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 are 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 through the use of data.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
**Qualifications**
- Degree (Masters or higher would be an advantage) in IT, Computer Science, Data Science, AI, Machine Learning, Business Analytics or equivalent experience
- Minimum 5 years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning
- Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other tools
- Experience on programming languages (Python and/or C or more), ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
- Experience working with