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Associate Data Scientist - job 5 of 5

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 Data Labs team based out of Bangalore, and will be responsible for building new data products, and support in delivering Visa Managed Services data science engagements for Visa's clients across the Asia Pacific region. You will be challenged to stretch your thinking, and innovation is always an edge to the work that we do.

What an Associate Data Scientist will do and learn at Visa:

The Associate Data Scientist will serve as an individual contributor and a member of the VCA Data Labs team, reporting to the Data Labs Lead AP. This position will be based in Visa's India office in Bengaluru.

Key responsibilities include:

  • Develop and build scalable data products that can be delivered to clients based out of our Bangalore delivery hub
  • Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
  • Support defining methodology, creating and executing on the data framework with appropriate methodologies
  • Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact
  • 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, and manage internal stakeholders across different data projects in AP

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 using data

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

What you will need:
We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of experience, be curious about payments industry and application of data analytics, be results-driven and client-centric.

  • Degree (Masters or higher would be an advantage) in IT, Computer Science, Data Science, AI, Machine Learning, Business Analytics or equivalent experience
  • Minimum 3 years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning
  • Deep analytical expertise in applying statistical solutions to business problems
  • 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 visualization tools such as Tableau and Power BI
  • Demonstrated ability to innovate solutions and solve business problems
  • Strong stakeholder management with a collaborative, diplomatic, and flexible style able to work effectively in a matrixed organization
  • Excellent presentation and storytelling skills, including strong oral and written capabilities


What will also help:

  • Experience in analytics for retail banking, card issuing or consulting to retail banks
  • Good understanding of payments and banking
  • Story boarding and data story telling including strong PowerPoint and Excel skills
  • Experience in working closely with data science community

Additional Information

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

Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Associate Data Scientist, Visa

Join Visa as an Associate Data Scientist and help shape the future of payments technology from our Bangalore office! At Visa, a world leader in the payments industry, you'll become part of the dynamic Visa Consulting & Analytics (VCA) team, where your contributions will drive innovative solutions for our clients across the Asia Pacific region. In this role, you'll develop and build scalable data products, manage analytics projects, and work with various data sources to create impactful insights. You will gain hands-on experience in data analytics, utilizing methodologies that help companies thrive economically. Your innovative thinking will be welcomed, as we encourage exploring non-traditional data and new modeling techniques to meet client needs. You'll engage closely with various stakeholders, communicating your findings clearly, and driving actionable recommendations that can significantly impact business value. Collaborate with a team of over 1500 professionals, including consultants and data scientists, to deepen your expertise in an environment that values curiosity and results. Joining the VCA Data Labs team means you’re not just landing a job; you're stepping into a role where your work truly makes a difference in empowering businesses and communities. Experience the vibrant culture of Visa, where your skills contribute to shaping the future of the payments landscape. We're excited for you to be a part of our team!

Frequently Asked Questions (FAQs) for Associate Data Scientist Role at Visa
What are the responsibilities of an Associate Data Scientist at Visa?

As an Associate Data Scientist at Visa, your responsibilities will include developing scalable data products, managing and delivering analytics projects from conception to completion, clearly communicating findings and strategies, and leveraging a variety of data sources to create robust data-driven solutions. You'll work with VisaNet and other third-party data to deliver insights that add real business value.

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What qualifications do I need for the Associate Data Scientist position at Visa?

To apply for the Associate Data Scientist position at Visa, you should have a degree in IT, Computer Science, Data Science, or equivalent experience. A minimum of 3 years of professional expertise in Data Analytics or Data Science, alongside deep analytical skills in statistical methods and experience with programming languages such as Python and SQL, is essential for this role.

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What data tools should I be familiar with as an Associate Data Scientist at Visa?

As an Associate Data Scientist at Visa, familiarity with data extraction tools like SQL, Hive, and Spark is crucial. Additionally, proficiency in data visualization tools like Tableau and Power BI, as well as machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch, will greatly enhance your effectiveness in this position.

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How does the Associate Data Scientist role contribute to the goals of Visa?

The Associate Data Scientist plays a vital role at Visa by applying data analytics to solve strategic problems for clients, thereby driving performance and profitability. Your insights will help businesses to adapt and thrive in a rapidly changing payments landscape, ensuring Visa continues to lead in innovation and client satisfaction.

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What kind of projects can I expect to work on as an Associate Data Scientist at Visa?

In your role as an Associate Data Scientist at Visa, you can expect to work on analytics projects that are diverse and high-impact. These might include creating advanced data-driven solutions, utilizing big data analytics methodologies, and engaging with innovative approaches to tackle complex challenges in payment systems while effectively communicating insights to stakeholders.

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Common Interview Questions for Associate Data Scientist
Can you explain a data project you worked on and your role in it?

When answering this question, map out the specific project, your responsibilities, and the impact it had. Highlight the methodologies you used, technologies you implemented, and how your contributions led to actionable insights, particularly focusing on the outcome and your role in problem-solving.

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What programming languages are you most comfortable with and how have you used them?

Be specific about the programming languages you have experience with, such as Python or SQL. Describe how you’ve utilized them in data extraction, cleaning, or analysis to solve business problems or improve processes effectively.

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How do you approach data visualization and reporting?

Discuss your methodology for transforming data into visual formats that tell a compelling story. Mention your experience with tools like Tableau or Power BI and explain how you ensure your reports effectively communicate insights to stakeholders.

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What statistical methods are you most familiar with and how have you applied them?

Elaborate on the statistical techniques you have used, such as regression analysis or neural networks, and provide examples of how these methods have been applied in previous projects to derive significant business insights.

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Describe a time when you had to communicate complex data findings to a non-technical audience.

Illustrate your ability to break down complex data into relatable terms. Provide an example where you effectively communicated data insights to stakeholders, highlighting the strategies you used to ensure clarity and engagement.

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How do you keep yourself updated with the latest developments in data science and analytics?

Explain the sources you utilize for continuous learning, such as online courses, webinars, or industry publications. Showing a proactive approach to self-development indicates your commitment to staying current in the ever-evolving data science landscape.

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Can you discuss a challenging data problem you've faced and how you solved it?

Highlight a specific challenge you encountered in a data project, the methods you employed to tackle it, and the successful outcome. Your response should demonstrate your analytical thinking and problem-solving skills.

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What do you think is the biggest trend in data science today?

Share your insights into current trends such as machine learning advancements or AI's role in analytics. Ensure your response reflects your understanding of these trends in relation to Visa's goals and the payment industry.

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How do you prioritize tasks and manage deadlines in your work?

Discuss your time management techniques and how you handle multiple projects simultaneously. Sharing specific tools or methodologies that assist you in staying organized can be powerful in demonstrating your efficiency.

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Why do you want to work for Visa as an Associate Data Scientist?

Convey your passion for the payments industry, Visa's innovative culture, and how the role aligns with your career aspirations. Your enthusiasm for contributing to Visa's mission and values can leave a positive impression.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
March 17, 2025

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