Job Location: Bengaluru
Job Detail:
Team Summary
Visa Consulting & Analytics (VCA) team is a key part of the Global Solutions organization, 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.
Visa is looking for Data Science – Manager (Sr. Data Scientist), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery.
What a Data Science – Manager (Sr. Data Scientist) does at Visa:
The Data Science – Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa s Bangalore office.
The individual will be accountable for supporting and driving the design, development, and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
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Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
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Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.
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Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques, new data engineering pipeline development and management – fit for purpose to the needs of our clients
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Enhance existing analytic techniques by promoting new methodology and best practices in analytics.
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Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions.
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Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
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Collaborate with cross-functional teams to build and automate re-usable and scalable solutions.
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 engineers, 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.
Role Requirements and Responsibilities:
In this role, you will be instrumental in a diverse range of projects, varying according to Visa’s client needs and specifications. You will collaborate closely with VCA AP regional teams including market data science teams, the hub team in Singapore, and Visa’s clients, to address their most pressing business challenges.
As part of the project team, you’ll contribute to the design, development, and delivery of data analytics and data engineering solutions, alongside an array of stakeholders. This could involve developing new solutions, automating existing ones, and engaging in the long-term maintenance & delivery of client deliverables.
You’ll take on the responsibility of liaising with market data science teams to understand their needs, analyze and develop the requirements. This could comprise building necessary data pipelines, designing local data warehouses/marts, and developing analytical/statistical reports and deliverables. Moreover, you’ll cater to different data presentation techniques and automate processes for frequent or recurring deliveries, based on client requirements.
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.
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