Sr. Data Scientist
- Compensation
- Not disclosed
- Location
- IN - Bengaluru, India
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related discipline.
- 5+ years of experience in Data Science, Analytics, Machine Learning or AI-related roles.
- Strong proficiency in Python and SQL.
- Strong analytical, problem-solving and communication skills.
- Experience delivering end-to-end analytical or AI solutions.
Nice to have
- Experience developing GenAI, agentic AI or LLM-based applications.
- Experience with FastAPI, React or modern application frameworks.
- Experience building self-service analytics or data products.
- Experience with cloud platforms and modern data architectures.
- Experience working directly with business stakeholders and senior leaders.
- Experience operating independently in a fast-paced environment.
Full description
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Job Summary
Visa's CEMEA Internal Data & Analytics team is seeking a highly motivated Data Science Manager to develop and scale AI-enabled products, analytics platforms and self-service decision-support capabilities that empower business teams across CEMEA.
This role sits at the intersection of Data Science, Software Engineering, GenAI and Business Analytics. The successful candidate will partner closely with business stakeholders to build scalable solutions that transform data into actionable insights, automate decision-making workflows and accelerate adoption of AI across the organization.
Key Responsibilities
AI Products & Agentic Solutions
- Design, develop and deploy AI-powered business applications and self-service analytics products.
- Build agentic AI solutions leveraging LLMs, GenAI platforms and conversational interfaces.
- Develop AI-enabled decision support tools that drive measurable business outcomes.
- Own the product lifecycle from ideation through deployment and adoption.
Data Science & Advanced Analytics
- Build predictive models, optimization solutions and recommendation engines.
- Apply machine learning, statistical modelling and experimentation techniques to solve business problems.
- Translate complex business challenges into scalable analytics and AI solutions.
- Deliver measurable business impact through data-driven decision making.
Data Democratization & Analytics Platforms
- Enhance and expand IRIS capabilities and broader Project LEGO initiatives.
- Build self-service analytics solutions that reduce reliance on manual reporting.
- Develop reusable data products, analytical assets and business intelligence solutions.
- Enable business users to access trusted insights through modern analytics experiences.
Engineering & Solution Development
- Develop production-grade applications using Python and modern development frameworks.