JPMorganChase is hiring fresher’s and experienced candidates for the role of Data Scientist Associate. The complete details about role are as follows.
JPMorganChase Recruitment For Data Scientist Associate
Company : JPMorganChase
Role : Data Scientist Associate
Degree : Bachelor’s Degree in Computer Science, Information Technology, Cyber Security
Batches : 2026,2025,2024,2023,2022
Experience : 0 – 3 Year’s
Salary : 3 – 12 LPA (Expected)
Location: Bangalore, India
Job Description:
JPMorgan Chase & Co. is hiring for a Software Engineer opportunity under Job ID 210788748. This is a strong opportunity for candidates looking to begin their career in software engineering with one of the world’s leading financial institutions.
The role involves working with technology teams to design, develop, test and maintain software applications used across JPMorgan Chase’s large-scale banking and financial platforms.
Candidates will work as part of an engineering team and contribute to application development, technical problem-solving, testing and continuous improvement. Freshers with a good foundation in programming and computer science concepts can use this opportunity to gain experience working on enterprise-level technology systems.
Qualifications & Skills :
- Bachelor’s degree in Computer Science, Information Technology, Engineering or a related technical field
- 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).
- Proven experience translating open-ended business questions into structured analyses that drive measurable outcomes.
- Demonstrated experience in customer analytics (behavioural analysis, funnels/journeys, cohorting, campaign measurement) and commercial thinking (profitability / unit economics).
- Ability to influence stakeholders and drive alignment in a fast-paced, agile, cross-functional environment in a fast-paced, agile environment, using clear analysis and communication.
- Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities and skills
- Familiarity with quasi-experimental/causal approaches when randomisation isn’t feasible (e.g., diff-in-diff, matching/propensity approaches), and knowing when not to use them.
- Experience building interpretable predictive models (e.g., logistic/linear regression, tree-based methods) with disciplined evaluation (leakage checks, calibration, drift/monitoring considerations).
- Product and commercial curiosity: ability to balance rigor with speed and learn what is “good enough to decide” with guidance from senior partners.
Roles and 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).
- Design, execute, and evaluate experiments (A/B and other controlled tests): define test plans, guardrails, basic sample sizing considerations, and interpret results with appropriate uncertainty.
- Apply statistical methods to quantify impact and drivers (e.g., segmentation, cohorting), and clearly communicate trade-offs and limitations.
- Build, validate, and maintain lightweight predictive models to support decisions (e.g., churn risk/retention targeting, response propensity, customer value proxies), prioritizing interpretability, stability, and measurable lift under guidance and with appropriate review.
- Follow and contribute to best practices for reproducible analysis and experimentation (documentation, code review norms, clear metric definitions).
- Collaborate with cross-functional partners (data engineering, analytics engineering, ML engineering, dashboard developers) to ensure data is fit-for-purpose for analysis/experimentation and insights are operationalised.
- Communicate insights in compelling narratives for both technical and non-technical audiences; influence roadmap and business decisions inform roadmap and business decisions through evidence.
How To Apply For JPMorganChase Careers :
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- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
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- Verify that all the details entered are correct.
- Submit the application form after verification.
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About JPMorganChase :
JPMorgan Chase & Co. is a leading global financial services company operating across banking, payments, investment banking, asset management and other financial services. The company uses technology at a massive scale to support its customers and financial operations worldwide. Its technology teams work on areas such as cloud, cybersecurity, software engineering, data, artificial intelligence and digital banking.