Data Scientist Associate

JPMorganChase; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorganChase in Mumbai is seeking a Data Scientist Associate to translate data into actionable insights and business impact. You will work on end-to-end data and AI projects, integrating data engineering, BI, and analytics to drive client-focused outcomes.

You will prototype generative AI capabilities, develop scalable AI integration frameworks, and collaborate with agile teams to support data-driven decision-making across business applications.

Qualifications

• 4+ years of experience in AI/ML or data science.
• Understanding of AI models, including LLM capabilities and limitations.
• Experience with statistical analysis and data-driven decision-making.
• Creative problem-solving skills.
• Exposure to cloud platforms (AWS, GCP, or Azure) and SDLC concepts.
• Strong communication and collaboration skills.

Responsibilities

• Identify opportunities to grow the business using data insights.
• Build and test new data- and AI-driven insights.
• Develop scalable frameworks for AI model integration across apps.
• Build and test AI agents and iterate designs.
• Conduct rigorous testing for reliability and effectiveness.
• Create data pipelines and dashboards using Databricks, Python, Tableau and Alteryx.
• Monitor AI model performance and implement updates.

Skills

Python

SQL

Statistics

Communication

Teamwork

Problem solving

Data analysis

Education

Bachelor's in CS/Engineering/Data Science

Tools

Databricks

Tableau

Alteryx

AWS

GCP

Azure

Job description

Job Description

Join the Data & Analytics team at JPMorgan Chase, where we leverage data science, research, and business acumen to promote client-focused innovation.

As a Data Scientist Associate within Data & Analytics team, you will work on projects that integrate agentic workflows, business intelligence, data engineering, and data visualization to grow our business by translating data into actionable insights. Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers.

Utilizing tools such as Databricks, Python, Tableau and Alteryx, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth.

Job Responsibilities

• Leverage your technical skillset and curiosity to identify opportunities to help grow our business
• Build and rigorously test new data and AI driven insights
• Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed.
• Build and test AI agents. Iterate designs to enhance functionality and user experience.
• Conduct rigorous testing for reliability and effectiveness.
• Use tools like Databricks, Python, Tableau and Alteryx to create data pipelines and dashboards. Support AI-driven insights and decision-making.
• Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
• Work on agile teams to support data-driven decision-making and client relationship management.

Required Qualifications, Capabilities, And Skills

• Degree in a scientific field (Computer Science, Engineering, Data Science, etc.) with 4+ years of experience in AI/ML or data science
• Understanding of AI models, including large language model (LLM) capabilities and limitations.
• Experience with statistical analysis, data-driven decision-making, and pattern identification.
• Creative problem-solving skills.
• Experience with Python and SQL.
• Exposure to cloud platforms such as AWS, GCP, or Azure, and SDLC concepts.
• Strong communication and collaboration skills, with the ability to work effectively in teams.
• Willingness to learn and contribute to agentic AI architectures.

Preferred Qualifications, Capabilities, And Skills

• Experience in data analysis, data science, or related fields.
• Familiarity with AWS, Databricks for data management and analysis.
• Understanding of quality assurance practices and the importance of data integrity.
• Knowledge of machine learning/data science theory, techniques, and tools.

ABOUT US

JPMorganChase, 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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.