
Director, Data Science, Visa Consulting & Analytics, India and South Asia
- Mumbai, Maharashtra
- Permanent
- Full-time
- Responsible for all Data Science deliverables for all types of Clients – Issuers, Merchants, Acquirers, etc. leveraging visa net data.
- Collaborate with cross-functional teams including Consulting, Singapore Hub team, Bangalore Shared Services and Data Engineering to align analytics solutions with business objectives.
- Drive Efficiency in delivery, ensure team is fully utilized and team adheres to agile board.
- Collaborate with internal stakeholder and external clients to comprehend their strategic business inquiries, leading project scoping and design to effectively address those questions by leveraging Visa's data.
- Drive revenue outcomes for VCA, particularly focusing on data science offerings such as ML Model solutions , Clustering, strategic Benchmarking , data insights .
- Design, develop, and implement advanced analytics and machine learning models to solve complex business challenges for Visa’s clients leveraging Visanet data as well as Client Data
- Ensure the quality, performance, and scalability of data-driven solutions.
- Mentor and manage a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning.
- Set priorities, provide technical direction, and oversee the end-to-end delivery of analytics projects.
- Champion the adoption of new methodologies and tools to enhance Visa’s analytics capabilities and value to clients.
- Advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, Engineering, or a related filed from Tier-1 institute e.g. IIT, ISI, DSE, IISc, etc.
- 14+ years of experience in data science, analytics, or related fields, including 5 + years in a leadership/management role.
- Proven track record of building and leading high-performing data science teams.
- Expertise in statistical analysis, machine learning, data mining, and predictive modeling.
- Proficiency in programming languages such as Python, R, or Scala, and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Excellent communication, presentation, and stakeholder management skills.
- Exposure/prior work experience in payments and/or banking industry
- Experience in consulting space or matrix team structure