Data Scientist - Visa Consulting & Analytics

Accountabilities:

• • Deliver end-to-end data analytics projects for clients, translating business challenges into actionable analytical strategies and solutions.
  • Develop and support credit card portfolio strategies using client data, payments data, third-party sources, and other relevant datasets.
  • Apply statistical and analytical techniques to identify opportunities for growth, profitability, customer acquisition, engagement, and portfolio management.
  • Act as a data analytics advocate with client and partner teams, advising stakeholders and sharing relevant analytical methodologies, best practices, and case studies.
  • Explore new data sources, analytical tools, technology platforms, infrastructure, and potential analytics partnerships to strengthen solution capabilities.
  • Research and apply leading analytics methodologies, adapting successful approaches and insights from other markets to address client challenges.
  • Translate complex analytical findings into clear business recommendations and compelling data-driven narratives.
  • Build strong relationships with client stakeholders and effectively manage internal and external communications throughout project delivery.
  • Collaborate with data scientists, analysts, statisticians, consultants, and other specialists to deliver high-impact solutions.
  • Manage multiple projects and priorities while maintaining high standards of analytical quality, accuracy, and client service.
  • Continuously identify opportunities to improve analytical approaches and unlock additional business value from data.

  Requirements:

  • Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or a related field; an advanced degree is an advantage.
  • At least 3 years of experience applying analytics and statistical techniques to solve business problems, or equivalent relevant professional experience.
  • Demonstrated experience using data and analytics to generate measurable business value and support strategic decision-making.
  • Experience in credit card analytics and/or retail banking analytics is strongly preferred.
  • Hands-on experience with one or more analytics and programming technologies such as SAS, Hadoop, R, SQL, Python, or Hive.
  • Strong analytical and problem-solving capabilities, with the ability to approach complex problems creatively and strategically.
  • Excellent presentation and data storytelling skills, including strong proficiency with Microsoft Excel and PowerPoint.
  • Ability to translate technical and analytical findings into practical recommendations for business and client stakeholders.
  • Strong communication and stakeholder management skills, with confidence working directly with internal and external partners.
  • Self-motivated and results-oriented, with the ability to manage multiple projects concurrently in a fast-paced consulting environment.
  • Curiosity about the banking, payments, and cards industries, combined with a strong interest in applying data to business challenges.
  • Experience collaborating with data science communities and cross-functional analytical teams.
  • Client-centric mindset, strong attention to detail, adaptability, and a commitment to delivering high-quality outcomes.

  Benefits:

  • Fully remote position based in India.
  • Opportunity to work on high-impact analytics projects within the payments and financial services sector.
  • Exposure to credit card, retail banking, portfolio management, profitability, and customer engagement challenges.
  • Collaboration with experienced data scientists, analysts, consultants, and industry specialists.
  • Opportunities to work with diverse datasets and modern analytics and programming technologies.
  • Exposure to international best practices, methodologies, and analytical approaches.
  • Opportunities for professional development and continued growth in data science and consulting.
  • Ability to contribute directly to data-driven strategies that generate measurable business outcomes.
  • Flexible remote working environment, with occasional presence at an office or client location when required.