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Data Scientist Senior Associate

JPMorgan Chase · Posted Oct 12

Global banking, investment, credit card, mortgage, and asset management services

Bengaluru, Bengaluru, Karnataka, IndiaFull-timeOnsiteSenior Level6+ years₹30.0L–₹45.0L yearly50 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

The Cards Data & Analytics team at JPMorgan Chase uses data science, research, and business acumen to deliver solutions for Co-Brand Card partnerships. The team works across agentic workflows, business intelligence platforms, and advanced analytics, with tools including Databricks, Python, Tableau, and Alteryx. As a Data Scientist Senior Associate, the role owns end-to-end delivery of segmentation models, strategic analyses, and AI-driven insights, builds data pipelines and dashboards, and translates complex data into recommendations for Co-Brand business partners.

What you will do

  • Be part of the Segmentation and Strategic Analytics team and drive analytics-driven business strategy and growth for Co-Brand Card partnerships. Learn our business and how JPMorgan delivers value for our customers and partners through Co-Brand credit card products.
  • Leverage your technical skillset, domain expertise, and curiosity to identify opportunities to help grow our Co-Brand Cards business through advanced segmentation and strategic analytics.
  • Build and rigorously test new data and AI driven insights, owning the end-to-end analytical lifecycle from hypothesis to production-ready deliverables.
  • Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and scale to support evolving Co-Brand partnership needs.
  • Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and mentor junior team members on best practices.
  • Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and business recommendations for Co-Brand strategic initiatives.
  • Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance. Drive continuous improvement of analytical methodologies.
  • Lead workstreams on agile teams to support data-driven decision-making, customer segmentation, and strategic partner relationship management.

Skills used in this role

PythonSQLDatabricksTableauAlteryxAWSGCPAzureMachine LearningAILLMAI AgentsData PipelinesStatistical AnalysisCustomer SegmentationModel ValidationSDLCAgileProblem SolvingCommunicationCollaborationMentorship

What the employer is looking for

  • Degree in a scientific field (Computer Science, Engineering, Data Science, Statistics, Mathematics, etc.) with 6+ years of experience in AI/ML or Data Science.
  • Experience working in Card, Co-Brand, or other Financial Services verticals.
  • Strong understanding of AI models, including large language model (LLM) capabilities and limitations, and experience applying them to business problems.
  • Proven experience with statistical analysis, data-driven decision-making, customer segmentation, and pattern identification.
  • Strong creative problem-solving skills with the ability to translate complex analytical findings into actionable business recommendations.
  • Proficiency in Python and SQL with demonstrated ability to build production-quality analytical solutions.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
  • Strong communication and collaboration skills, with the ability to present findings to senior stakeholders and work effectively across teams.
  • Experience building and contributing to agentic AI architectures and automation frameworks.

Preferred qualifications

  • Experience in customer segmentation, strategic analytics, or related fields within financial services.
  • Hands-on experience with AWS, Databricks for data management, large-scale data processing, and advanced analytics.
  • Understanding of quality assurance practices, model validation, and the importance of data integrity in production environments.
  • Deep knowledge of machine learning/data science theory, techniques, and tools with experience deploying models at scale.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company

Leadership

JD
Jamie Dimon

Chairman and Chief Executive Officer

JB
Jeremy Barnum

Chief Financial Officer

JP
Jennifer Piepszak

Chief Operating Officer

LB
Lori Beer

Global Chief Information Officer

MC
Mary Callahan Erdoes

CEO, Asset & Wealth Management