About UsJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
About UsJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Job Role:Data Scientist Associate
Qualification:Bachelor's/Master's Degree
Experience:Freshers/Experienced
Batch:2022-2026
Job responsibilities:– Deliver high-quality analyses and models, and participate in peer reviews to improve analytical quality and communication.– Partner with cross-functional stakeholders to translate business questions into hypotheses, success metrics, and decision-ready recommendations (with support from senior team members).– Support measurement for key customer journeys and commercial outcomes, with an emphasis on customer behaviour and profitability (e.g., engagement, retention, cross-sell, unit economics).
Job responsibilities:– Deliver high-quality analyses and models, and participate in peer reviews to improve analytical quality and communication.– Partner with cross-functional stakeholders to translate business questions into hypotheses, success metrics, and decision-ready recommendations (with support from senior team members).– Support measurement for key customer journeys and commercial outcomes, with an emphasis on customer behaviour and profitability (e.g., engagement, retention, cross-sell, unit economics).
Required qualifications, capabilities and skills:– Strong collaboration skills; experience working in cross-functional teams to deliver analytics and experimentation.– Advanced SQL skills (complex joins, validation, performance-aware querying).– Strong Python for analytics (reproducible analysis; comfortable with common DS tooling).– Strong grounding in statistics and experimentation (hypothesis testing, confidence intervals, common pitfalls, bias/confounding; sample size/power concepts).
Required qualifications, capabilities and skills:– Strong collaboration skills; experience working in cross-functional teams to deliver analytics and experimentation.– Advanced SQL skills (complex joins, validation, performance-aware querying).– Strong Python for analytics (reproducible analysis; comfortable with common DS tooling).– Strong grounding in statistics and experimentation (hypothesis testing, confidence intervals, common pitfalls, bias/confounding; sample size/power concepts).