Senior Manager Data Science

1 month ago

Mumbai, India Visa Full time
Job Description

Team Summary

Visa Consulting and 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, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for supporting data science engagements with Visa’s clients. The team is involved in a comprehensive range of consulting services and data-driven solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and portfolio management

Job Description

As a Senior Data Science Manager, you will be contributing to the growth of the Data Science function in Visa Consulting & Analytics (VCA) and will be part of Visa’s global Data Science community. In this role, you will be accountable for delivering solutions derived from AI / ML algorithms to clients based in India and South Asia. In this role, you will collaborate with management consultants, account executives and other internal functions to support our clients with their most pressing issues and largest opportunities. Your innovative and scalable solutions will help drive Visa’s business performance and enhance payment experiences for millions of customers across the region.

Key responsibilities include:

· Client Engagement & Advisory: Collaborate with VCA consultants and key clients to understand their challenges and develop solutions for problems spanning across the customer lifecycle management

· Partner with clients to understand their business objectives and provide tailored AI solutions. Translate complex technical concepts into actionable business insights and strategies.

· Manage multiple medium-to-large data science projects simultaneously alongside project partners, adhering to timelines and budget constraints and troubleshooting issues as they arise

· Solution Design: Propose, design, and advise on the architecture of advanced analytics solutions that leverage AI technologies to meet client-specific needs.

· Technical Consultancy: Offer expert guidance on AI tools, machine learning frameworks, and best practices for data science projects across diverse industries.

· Project Oversight: Oversee the execution of AI projects, ensuring proper alignment between business goals and technical solutions. Facilitate workshops, manage stakeholder communication, and report on project progress.

· Strategic Roadmapping: Help clients develop long-term AI and data science roadmaps, advising on scalability, feasibility, and resource requirements for future initiatives.

· Team Collaboration: Work alongside other DS team members, sharing knowledge and mentoring to foster in-house AI expertise within the Visa

· Sales & Business Development Support: Provide subject matter expertise during pre-sales activities, assisting in the creation of compelling proposals and technical demonstrations.

· Capability Building: Contribute to building client competencies in AI and analytics, providing training and documentation to ensure seamless project handovers.

· Thought Leadership: Stay at the forefront of AI advancements and advocate for innovative solutions that drive value for clients.

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’re 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 through the use of data.

This is an onsite position and candidate is expected to be in office or client site, as required.


Qualifications

What you will need:

· 9-12 years of experience in Data Science roles, with significant experience in a data science consulting capacity. (with minimum 5 years of experience in AI Data Science role)

· Accredited master’s degree in computer science, statistics, econometrics , engineering, or related fields

· Experience in retail banking, payments, financial services, and/or technology industries

· Proven hands-on experience in advanced analytics and statistical modelling including linear regression, logistic regression, clustering methods (e.g. K-means), principal components analysis, classification methods (decision trees / gradient boosting machines), Monte Carlo analysis, natural language processing, and other techniques

· Experience designing, building, and deploying machine learning models and algorithms end-to-end at scale

· Proficient in AI and machine learning ecosystems such as TensorFlow, Keras, Scikit-learn, and Pytorch, Python, SQL, NoSQL, and familiarity with cloud platforms (AWS, Azure, GCP).

· Experience working with large volumes of data (Big Data): extracting, cleaning and manipulating large datasets using standard tools such as Python/PySpark, R, SQL, Hadoop/Hive, Presto, SAS, etc.

· Excellent project management, organizational and presentational skills, Excellent communication skills -verbal & written.

· Willingness to travel 20% or more What will also help: - Exposure/prior work experience in payments and/or banking industry

- Experience in consulting space or matrix team structure



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.

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