Data Scientist Senior Associate

JPMorganChase; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorganChase is seeking a Data Scientist Senior Associate within the Business Banking Data and Analytics Team. You will build predictive models, develop robust RAG pipelines, and collaborate across teams to drive data-driven decisions.

The role focuses on solving complex problems and creating AI-based solutions to improve both tech and business efficiency. You will design and scale ML models, implement GenAI agents, and ensure quality, security, and governance across the enterprise.

Qualifications

• Structured training in software engineering concepts and 8+ years in AI/ML.
• Strong SDLC, data structures, algorithms, statistics.
• Experience with cloud platforms (AWS, GCP, Azure).
• Proficient with ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience building and scaling ML platforms in enterprise environments.

Responsibilities

• Align ML problems with business objectives and real-world needs.
• Design and manage prompt-based models for LLM tasks in finance.
• Architect next-gen ML models and scalable systems.
• Drive ML solution innovation for scalability and future-proofing.
• Promote software and model quality, security, and integrity.
• Architect and implement scalable AI Agents and GenAI apps for enterprise.
• Integrate GenAI solutions with enterprise platforms via APIs.
• Establish validation with evaluation frameworks and bias mitigation.
• Collaborate with tech teams to deliver GenAI products.

Skills

AI/ML Experience

SDLC & Data Structures

Cloud Platforms

RDBMS & NoSQL

Prompt Design & LLMs

LangChain & AutoGen

Knowledge Graphs

Communication Skills

Tools

LangChain

LangGraph

AutoGen

OpenSearch

Neo4j

APIs

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Data Scientist Senior Associate within our Business Banking Data and Analytics Team, you will be instrumental in constructing predictive models and developing robust RAG pipelines. Collaborating closely with cross-functional teams, you will extract valuable insights from complex datasets to promote data-driven decision-making across the organization. Your focus will include addressing problem statements and innovating solutions for complex challenges. Additionally, you will build AI-based solutions to enhance both technological and business efficiency.

Job Responsibilities

• Align ML problem definition with business objectives to ensure solutions address real-world needs.
• Design, develop, and manage prompt-based models on Large Language Models (LLMs) for complex financial services tasks.
• Architect and oversee the development of next-generation machine learning models and systems using cutting-edge technologies.
• Drive innovation in machine learning solutions, focusing on scalability, flexibility, and future-proofing.
• Promote software and model quality, integrity, and security throughout the organization.
• Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications for enterprise deployment.
• Integrate GenAI solutions with enterprise platforms using API-based methods.
• Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails.
• Collaborate with technology teams to lead the design and delivery of GenAI products.

Required Qualifications, Capabilities, And Skills

• Formal training or certification in software engineering concepts and 8+ years of applied AI/ML experience.
• Strong understanding of the Software Development Life Cycle (SDLC), Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Proficiency in RDBMS, NoSQL databases, and prompt design.
• Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, pyG, Keras, MXNet, and Scikit-Learn.
• Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API), and RAG-based solutions (e.g., open search), Knowledge Graphs(e.g., neo4J).
• Proven track record of building and scaling software and/or machine learning platforms in high-growth or enterprise environments.
• Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.

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.