JPMorganChase Data Scientist Associate Hiring 2026 is an opportunity for data science and analytics professionals in Bengaluru. The role is part of the International Consumer Bank’s Business Analytics team and focuses on data analysis, experimentation, customer analytics, statistical modelling, and lightweight predictive modelling.
As a Data Scientist Associate, candidates will work closely with Product, Marketing, Operations, Engineering, and other cross-functional teams. The role involves using data and experimentation to understand customer behaviour, improve business performance, and support data-driven decisions.
The position is based at Embassy Tech Village, Outer Ring Road, Bengaluru, Karnataka, and is a full-time opportunity. The official listing currently provides an Apply Now option.
Job Overview
| Category | Details |
|---|---|
| Company | JPMorganChase |
| Job Role | Data Scientist Associate |
| Job ID | 210788748 |
| Job Category | Predictive Science |
| Business Unit | Corporate Sector |
| Team | International Consumer Bank – Business Analytics |
| Qualification | Not Specifically Mentioned |
| Experience | Professional experience in analytics/customer analytics required |
| Freshers Eligible | Not Specifically Mentioned / Not Fresher-Specific |
| Location | Bengaluru, Karnataka |
| Work Location | Embassy Tech Village, Bengaluru |
| Job Type | Full Time |
| Salary | Not Disclosed |
| Work Mode | Not Mentioned |
Job Description
JPMorganChase is looking for a Data Scientist Associate to join its Business Analytics team within the International Consumer Bank.
The role focuses on using data, experimentation, and lightweight predictive modelling to solve business problems. Areas of analysis may include customer engagement, retention, cross-selling, customer profitability, churn signals, response propensity, and customer value.
The successful candidate will work with cross-functional teams and translate business questions into hypotheses, metrics, analyses, experiments, and actionable recommendations.
Roles & Responsibilities
The major responsibilities include:
- Deliver high-quality data analyses and models.
- Participate in peer reviews to improve analytical quality.
- Translate business questions into structured hypotheses.
- Define success metrics for analytical initiatives.
- Support measurement of customer journeys and commercial outcomes.
- Analyze customer behaviour and profitability.
- Work on engagement, retention, cross-sell, and unit economics analysis.
- Design, execute, and evaluate A/B tests and controlled experiments.
- Develop test plans and appropriate guardrails.
- Consider sample sizing and statistical uncertainty.
- Apply statistical methods to identify business drivers.
- Perform segmentation and cohort analysis.
- Build and maintain lightweight predictive models.
- Develop models for churn, retention targeting, response propensity, and customer value.
- Follow reproducible analysis and experimentation practices.
- Maintain clear documentation and metric definitions.
- Collaborate with data engineering, analytics engineering, ML engineering, and dashboard teams.
- Communicate analytical insights to technical and non-technical stakeholders.
- Influence business decisions using evidence and data-driven recommendations.
Qualifications & Skills
Required Skills
Candidates should have:
- Strong collaboration skills.
- Experience working in cross-functional analytics teams.
- Advanced SQL skills.
- Experience with complex joins and data validation.
- Performance-aware SQL querying knowledge.
- Strong Python skills for analytics.
- Knowledge of common data science tools.
- Strong understanding of statistics.
- Knowledge of experimentation and hypothesis testing.
- Understanding of confidence intervals.
- Knowledge of bias and confounding.
- Understanding of sample size and statistical power.
- Experience translating open-ended business questions into structured analysis.
- Experience in customer analytics.
- Knowledge of behavioural analysis.
- Experience with funnels and customer journeys.
- Cohorting and campaign measurement knowledge.
- Commercial and profitability understanding.
- Strong stakeholder management and communication skills.
- Excellent written and verbal English communication.
Preferred Skills
Additional skills include:
- Quasi-experimental and causal inference techniques.
- Difference-in-differences.
- Matching and propensity approaches.
- Interpretable predictive modelling.
- Logistic and linear regression.
- Tree-based machine learning models.
- Model evaluation.
- Data leakage checks.
- Model calibration.
- Model drift and monitoring.
- Product and commercial curiosity.
- Ability to balance analytical rigor with business speed.
Work Environment
The position is based in Bengaluru, Karnataka, India, at:
Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, Karnataka – 560103.
The position is listed as Full Time. The official posting does not specify a remote or work-from-home arrangement.
The role involves collaboration with Product, Marketing, Operations, Engineering, Data Engineering, Analytics Engineering, ML Engineering, and other teams.
Salary Details
Salary: Not Disclosed
JPMorganChase has not provided a specific salary range for this Bengaluru position in the job listing.
Candidates should verify compensation details during the recruitment and offer process.
Is This a Fresher Job?
The official listing does not explicitly identify this as a fresher position.
In particular, the requirements mention:
- Proven experience translating business questions into structured analyses.
- Demonstrated experience in customer analytics.
- Experience with behavioural analysis, funnels, journeys, cohorting, and campaign measurement.
- Advanced SQL.
- Strong Python for analytics.
- Experience with statistics and experimentation.
Therefore, this opportunity is better suited to candidates with relevant data science, analytics, or customer analytics experience rather than candidates with no professional experience.
How to Apply
Interested candidates can apply through the official JPMorganChase careers portal.
Job Title: Data Scientist Associate
Job ID: 210788748
Location: Bengaluru, Karnataka, India
Job Category: Predictive Science
Business Unit: Corporate Sector
Official Application:
https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210788748
The official listing currently shows Apply Now.
Interview Questions and Answers
1. Tell me about yourself.
Answer:
I am a data analytics/data science professional with experience in SQL, Python, statistical analysis, and business problem-solving. I enjoy working with data to identify patterns, build analytical solutions, and translate findings into actionable recommendations.
2. What is customer analytics?
Answer:
Customer analytics involves analyzing customer data and behaviour to understand engagement, retention, conversion, profitability, and other business outcomes. It helps organizations make better product, marketing, and customer-management decisions.
3. What is A/B testing?
Answer:
A/B testing is a controlled experiment where two or more versions of a product, feature, or experience are compared to determine whether a change produces a statistically meaningful improvement.
4. What is a confidence interval?
Answer:
A confidence interval provides a range of plausible values for an estimated population parameter. It helps communicate the uncertainty associated with an estimate.
5. What is customer churn?
Answer:
Customer churn refers to customers stopping or significantly reducing their relationship with a company. A churn model can help identify customers who are more likely to leave so that appropriate retention strategies can be developed.
6. How would you build a churn prediction model?
Answer:
I would first define churn clearly, collect and clean relevant customer data, create meaningful features, split the data appropriately, select an interpretable model, train and validate it, evaluate metrics such as precision, recall, ROC-AUC and calibration, and monitor the model after deployment.
7. What is the difference between correlation and causation?
Answer:
Correlation means two variables are associated with each other, while causation means a change in one variable directly produces a change in another. Correlation alone does not establish causality.
8. What is data leakage?
Answer:
Data leakage occurs when information that would not be available at prediction time is accidentally used to train a model. This can make model performance appear much better than it actually is.
9. How do you optimize a complex SQL query?
Answer:
I would review the execution plan, check joins and filters, reduce unnecessary columns and rows, ensure appropriate indexing where applicable, avoid inefficient operations, and validate the final query for both performance and correctness.
10. How do you communicate technical findings to business stakeholders?
Answer:
I focus on the business problem first, explain the key finding in simple language, use relevant visualizations, quantify the impact, clearly communicate limitations, and provide an actionable recommendation.
About JPMorganChase
JPMorganChase is one of the world’s major financial institutions, serving consumers, small businesses, corporations, institutions, and government clients.
The company operates across investment banking, consumer and small business banking, commercial banking, financial transaction processing, asset management, and other financial services.
JPMorganChase emphasizes collaboration, diversity, innovation, and the use of technology and data to support its global businesses.
Selection and Interview Process
The exact selection process for this particular position is not specified in the job posting.
Candidates should be prepared for assessments and interviews focused on areas such as:
- SQL and data querying
- Python for data analysis
- Statistics
- A/B testing and experimentation
- Customer analytics
- Predictive modelling
- Business case analysis
- Problem-solving
- Stakeholder communication
- Behavioural and situational questions
The actual process may vary depending on the hiring team.
Final Summary
The JPMorganChase Data Scientist Associate Hiring 2026 opportunity is based in Bengaluru and belongs to the Predictive Science category within the Corporate Sector.
The role is focused on SQL, Python, statistics, experimentation, customer analytics, predictive modelling, and business decision-making. Candidates should have relevant analytical experience and be comfortable working with cross-functional teams.
This is not explicitly advertised as a fresher position, and the job requirements indicate that relevant professional experience is expected.
Job ID: 210788748
Location: Bengaluru, Karnataka
Job Type: Full Time
Salary: Not Disclosed
Apply Here : Click here
FAQs
1. What is the JPMorganChase Data Scientist Associate role?
It is a Data Scientist Associate position focused on customer analytics, experimentation, statistical analysis, predictive modelling, and business insights.
2. Where is the job located?
The position is located in Bengaluru, Karnataka, India, at Embassy Tech Village.
3. Is this a fresher job?
The official listing does not explicitly state that it is a fresher position. It asks for demonstrated experience in customer analytics and structured business analysis.
4. What technical skills are required?
The key technical skills include advanced SQL, Python, statistics, experimentation, customer analytics, and predictive modelling.
5. Is Python required?
Yes. Strong Python skills for analytics are listed among the required qualifications.
6. Is SQL required?
Yes. Advanced SQL skills, including complex joins, validation, and performance-aware querying, are required.
7. What is the salary?
The salary is not disclosed in the official job posting.
8. What is the JPMorganChase Job ID?
The Job ID is 210788748.
