Senior
Data Scientist Senior Associate
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.
Sign up to apply and find out right away if you're a fit.
Is this role right for you?
Your agent will tell you — in seconds.
Sign up and I'll tell you right away how well JPMorgan Chase matches you — what you already have, and what's missing. Then I stay on it: I search for you and only write when I find something worth your time.