Data Scientist Associate - Payments Data & Analytics

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai invites a Data Scientist to join the Payments Data and Analytics team.

You will collaborate with global data science and product teams to deliver high-impact AI and analytics use cases and build data-driven products that empower internal sales and product teams. The role requires 4+ years delivering data science solutions, hands-on experience with Databricks, PySpark, SQL and Tableau, plus cloud knowledge (AWS).

Qualifications

• Bachelor’s degree in a quantitative field, or equivalent practical experience.
• 4+ years delivering data science and analytics solutions from problem framing through deployment.
• Hands-on with modern data/analytics platforms and BI tools (Databricks, PySpark, SQL, Tableau).
• Working knowledge of AI-powered solution development including LLM fundamentals, prompt engineering, and RAG integration.
• Experience deploying data workloads in cloud environments (AWS).

Responsibilities

• Explore money flows in JPMorgan Chase's network and translate data into insights shaping product strategy.
• Collaborate with product managers to design data-driven internal products and robust data assets.
• Identify opportunities to integrate agentic AI workflows to improve efficiency and decisioning.
• Apply a management-consulting approach to size and prioritize impactful use cases.
• Combine analytical thinking with technical execution to deliver best-in-class outcomes.
• Build partnerships with internal stakeholders and deliver revenue-enhancing insights.
• Communicate complex concepts clearly to executives and stakeholders.

Skills

Stakeholder management

Agentic AI solutions

Payments/fintech experience

Management consulting background

Education

Bachelor’s degree in Engineering/CS/Statistics/Mathematics or related field

Tools

Databricks

PySpark/Spark

SQL

Tableau

AWS

Job description

Our Payments Data and Analytics team is responsible for delivering high impact insights to help grow our payments business, driving our Payments data strategy, and creating innovative data-driven products for our clients and internal partners. We combine data science/AI/ML expertise, consultative problem solving, design thinking and a deep understanding of technology to drive value.

As a Data Scientist in the Payments Data and Analytics team, you will collaborate with our global data science and product teams to deliver high-impact AI and analytics use cases and build data-driven products that help internal sales and product teams sell more effectively.

Job responsibilities:

• Explore how money moves through our network and around the world, partnering closely with teams that sell, build, and deliver Payments products (including consumer-to-business payments, FX, trade finance, liquidity and more) to translate data into insights that shape the strategy and direction of JPMorgan Chase products.
• Collaborate with product managers to design and deliver internal, data-driven products and build robust data assets that power scalable analytical solutions.
• Identify and evaluate opportunities to integrate agentic AI workflows to improve efficiency, decisioning, and execution.
• Apply a management-consulting approach to identify, size, and prioritize use cases - grounded in impact orientation, strong business understanding, program management discipline, and executive presence.
• Combine rigorous analytical thinking with hands-on technical skills to design solutions and push approaches toward best-in-class outcomes.
• Build strong partnerships with internal stakeholders and deliver insights that increase revenue and improve client outcomes.
• Communicate complex concepts with clarity and concision, tailoring messages appropriately for internal stakeholder and executive audiences.

Required qualifications, capabilities, and skills:

• 4+ years of experience delivering data science and analytics solutions, from problem framing through production deployment.
• Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience).
• Strong hands-on experience with modern data/analytics platforms and tooling (e.g., Databricks, PySpark/Spark, SQL) and data visualization/BI tools (e.g., Tableau).
• Working knowledge of AI-powered solution development, including LLM fundamentals, prompt engineering, retrieval-augmented generation (RAG), and MCP-style integrations.
• Experience building on cloud platforms (e.g., AWS), including deploying and operating data workloads in cloud environments.

Preferred qualifications, capabilities, and skills:

• Strong stakeholder management skills with a track record of building trust-based partnerships across teams and functions.
• Demonstrated experience designing and building agentic AI solutions
• Experience in payments, financial services, fintech or other technology-enabled industries
• Background in management consulting is a plus