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Associate Data Scientist - job 1 of 2

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
  • 2 to 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
  • 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

$70000 / YEARLY (est.)
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$60000K
$80000K

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

Are you ready to embark on an exciting journey with Visa as an Associate Data Scientist in our vibrant Bangalore office? At Visa, we are a global leader in payments, driving innovation and security in transactions across over 200 countries. As part of the Visa Consulting & Analytics (VCA) team, you will play a crucial role in shaping strategies that deliver measurable results for our clients ranging from merchants to financial institutions. In this position, you will be part of the VCA Data Labs team, tasked with developing and scaling data products tailored to our clients’ needs. You'll have the opportunity to manage analytical projects from start to finish, clearly communicate insights, and see your work drive real business impact. Collaborating with VisaNet data and third-party sources, you will innovate new data-driven solutions that enhance our client offerings. If you’re passionate about data science and have a knack for problem solving within the payments landscape, this is your chance to make a difference. Join us at Visa, where we uplift everyone everywhere – including you!

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 primary responsibilities will include developing scalable data products and managing analytical projects from inception to delivery. You'll communicate findings, support internal stakeholders, and ensure impactful results through the deployment of advanced data-driven solutions. Your role will also involve working with VisaNet transaction data and leveraging innovative approaches to solve complex problems.

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What qualifications are needed to apply for the Associate Data Scientist position at Visa?

To qualify for the Associate Data Scientist role at Visa, you should hold a degree in a related field such as Computer Science, Data Science, or AI, with a master's preferred. You’ll need 2-3 years of experience in data analytics or data science, including familiarity with SQL, Python, and statistical modeling techniques. Strong communication skills and a keen understanding of the payments industry will be beneficial.

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How does Visa foster innovation within the Associate Data Scientist role?

Visa encourages innovation within the Associate Data Scientist role by promoting a culture of curiosity and creative problem-solving. You’ll have access to advanced analytics tools, collaborate with a diverse team of experts, and be challenged to employ non-traditional data and techniques to drive unique solutions that meet our clients' needs.

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What impact do Associate Data Scientists have on Visa's clients?

Associate Data Scientists at Visa have a profound impact on our clients by providing data-driven insights that help optimize performance and profitability. Through tailored solutions and innovative analyses, you contribute to empowering clients to navigate changes in the payments landscape, ensuring they stay ahead of the competition while enhancing business growth.

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Is the Associate Data Scientist position at Visa remote or hybrid?

The Associate Data Scientist position at Visa is a hybrid role, combining the best aspects of both in-office collaboration and remote work flexibility. Your specific in-office expectations will be confirmed by your hiring manager, allowing you to balance personal and professional commitments effectively.

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Common Interview Questions for Associate Data Scientist
Can you explain your experience with SQL and how you've used it in data analysis?

When discussing your SQL experience, highlight specific projects where you utilized SQL to extract and manipulate data. For instance, describe a project where you aggregated large datasets to derive business insights, ensuring that you emphasize how your SQL skills contributed to successful analytical outcomes.

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Describe a data science project you’ve completed and the impact it had.

Choose a project where your data science skills directly contributed to tangible results. Detail your role, methodologies applied, and the analytical tools used. Focus on how the insights derived influenced decision-making or strategy for the client, showcasing your capability to drive business value through data.

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What innovative approaches have you used in your data science work?

Illustrate your innovative spirit by discussing techniques you've used that go beyond traditional methods. This could include utilizing machine learning models or exploring unconventional datasets. Detail the outcomes of your innovative approaches and how they added value to the projects.

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How do you prioritize projects when managing multiple analytics tasks?

Explain your approach to project management by discussing how you assess project urgency, client needs, and the potential business impact. Highlight any tools or methodologies you use to ensure timely delivery without sacrificing quality, demonstrating your organizational skills.

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How do you ensure effective communication of your analytical findings to non-technical stakeholders?

Share strategies you use to translate complex data insights into compelling narratives. Discuss your use of visualizations or storytelling techniques that help non-technical stakeholders understand the implications of your analysis, which is crucial for driving action based on your findings.

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What statistical techniques are you most comfortable with, and how have you applied them?

Be specific about the statistical techniques you’ve mastered, such as regression analysis or machine learning algorithms. Provide examples of how you applied these techniques to real-world challenges and highlight the results achieved, showcasing your analytical proficiency.

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What tools do you typically use for data visualization, and what has been your experience with them?

Discuss the visualization tools you have experience with, such as Tableau or Power BI, and explain how you've used them to create insightful dashboards. Share an example of a particular project where your visualization helped clarify complex data and influenced stakeholder decisions.

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Can you explain a time you faced a significant challenge in a data project and how you overcame it?

Discuss a specific challenge you encountered and the steps you took to resolve it. Focus on your problem-solving skills and adaptability during the process, illustrating how you leveraged collaboration or innovative thinking to successfully navigate obstacles.

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What do you consider the most exciting aspect of working in the payments industry?

Reflect on what draws you to the payments industry, such as its rapid evolution and the role data plays in driving innovation. Emphasize your passion for being part of a sector that impacts everyday lives and your desire to contribute to its evolution through data science.

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

Convey your enthusiasm for Visa's mission and its role as a leader in the payments space. Highlight how your values align with theirs and discuss your eagerness to contribute to a team that focuses on utilizing data for impactful solutions, expressing your long-term vision for growth within the company.

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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 21, 2025

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