JPMorganChase Hiring for Data Scientist Associate – Bengaluru

JPMorganChase hiring applications for the Data Scientist Associate position in Bengaluru, Karnataka, India. The role falls under the Predictive Science job category within the Corporate Sector and focuses on customer analytics, statistical analysis, experimentation, and predictive modelling.

Candidates with strong SQL and Python skills, a solid understanding of statistics, and experience translating business questions into actionable insights can review the requirements and apply through the official JPMorganChase careers portal.

JPMorganChase Data Scientist Associate Job Overview

Job Description

The Data Scientist Associate position is part of JPMorganChase’s International Consumer Bank, where the Business Analytics team works closely with Product, Marketing, Operations, and Engineering teams.

The role involves using data analysis, experimentation, statistical techniques, and lightweight predictive models to improve customer experiences and business performance. The selected candidate will help evaluate customer behaviour, measure commercial outcomes, identify retention opportunities, and support business decisions with reliable analytical evidence.

The position also involves designing controlled experiments, analysing customer journeys, developing predictive models, and presenting findings to technical and non-technical stakeholders.

Qualifications & Skills

Candidates should review the following skills and capabilities mentioned in the job description:

• Strong SQL skills, including complex joins, data validation, and performance-aware queries.
• Strong Python skills for reproducible data analysis using common data science tools.
• Good understanding of statistics and experimentation.
• Knowledge of hypothesis testing, confidence intervals, bias, confounding, sample size, and statistical power.
• Ability to convert business questions into structured analytical problems.
• Experience in customer analytics, behavioural analysis, funnels, customer journeys, cohort analysis, and campaign measurement.
• Understanding of commercial concepts such as profitability and unit economics.
• Ability to work with cross-functional teams in an agile environment.
• Strong written and verbal communication skills in English.
• Ability to explain analytical findings clearly and support business decisions.

Must Have Skills

SQL

Candidates should be comfortable writing complex SQL queries, joining datasets, validating data quality, and creating reliable datasets for analysis.

Python

Python is required for analytical workflows, reproducible analysis, statistical work, and developing lightweight predictive models using common data science libraries.

Statistics and Experimentation

A strong statistical foundation is important for evaluating experiments, interpreting uncertainty, testing hypotheses, and understanding potential sources of bias.

Customer Analytics

The role requires an understanding of customer behaviour, customer journeys, retention, engagement, segmentation, cross-selling, and commercial performance.

Predictive Modelling

Candidates should understand how predictive models can support business decisions, particularly for customer churn, retention targeting, response propensity, and customer value estimation.

Communication and Collaboration

The position requires collaboration with Product, Marketing, Operations, Engineering, and other stakeholders. Candidates must be able to communicate insights and recommendations clearly.

Preferred Qualifications, Capabilities and Skills

The following additional skills are preferred:

• Familiarity with quasi-experimental and causal inference approaches, including difference-in-differences and matching or propensity-based methods.
• Experience with interpretable predictive models such as logistic regression, linear regression, and tree-based methods.
• Understanding of model evaluation, data leakage checks, calibration, model drift, and monitoring.
• Interest in product analytics and commercial problem-solving.
• Ability to balance analytical accuracy with business requirements and decision timelines.

Roles and Responsibilities

• Deliver high-quality data analyses and predictive models.
• Participate in peer reviews to improve analytical quality and communication.
• Work with cross-functional stakeholders to convert business questions into hypotheses, success metrics, and recommendations.
• Measure customer journeys and commercial outcomes, including engagement, retention, cross-selling, and unit economics.
• Design, execute, and evaluate A/B tests and other controlled experiments.
• Define experiment plans, consider guardrail metrics and sample sizes, and interpret results with appropriate uncertainty.
• Apply statistical methods to identify performance drivers, customer segments, and cohort-level trends.
• Build, validate, and maintain lightweight predictive models for churn risk, retention targeting, response propensity, and customer value.
• Follow reproducible analysis practices, including documentation, code reviews, and clear metric definitions.
• Collaborate with data engineering, analytics engineering, machine learning engineering, and dashboard development teams.
• Ensure datasets are suitable for analysis and experimentation.
• Present insights in clear narratives for technical and non-technical audiences.
• Support product roadmaps and business decisions through evidence-based recommendations.

How to Apply for JPMorganChase Careers

1. Visit the official JPMorganChase application page.
2. Review the job information, responsibilities, and required skills.
3. Click the Apply Now option on the official careers page.
4. Sign in or create an account if required.
5. Complete the application form with accurate personal, educational, and professional information.
6. Upload your updated resume and any other requested documents.
7. Review all the information before submitting the application.

About JPMorganChase

JPMorganChase is a global financial services company serving consumers, businesses, institutions, and government organisations. Its businesses include consumer and community banking, commercial and investment banking, asset and wealth management, and corporate functions.

The company uses technology, data analytics, and financial expertise to support customers, improve operations, manage risks, and make informed business decisions.

For candidates interested in data science and analytics, this role offers an opportunity to work on customer behaviour analysis, experimentation, predictive modelling, and business intelligence within an international banking environment.

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JPMorganChase Data Scientist Associate – Apply Online

Interested candidates can review the complete job description and submit their application through the official careers portal.

Official Application Link: Click here