BENGALURU · FULLTIME
Data Scientist Associate
JP Morgan Chase
Bengaluru · onsite · Posted 30d ago
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Undisclosed3–8 yrsfulltimeBengaluru
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Section · 01
About this role
Be an integral part of an agile team thats constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Data Scientist Associate at JPMorganChase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Build and productionize RAG and Agentic RAG applications for financial-services use cases (intelligent search, QA, summarization, and workflow assistants). This role blends core software engineering with applied data science skills-data cleaning, analytics, experimentation, and evaluation-to improve retrieval quality and model reliability.
- Build end-to-end RAG applications: document ingestion parsing chunking embeddings indexing retrieval grounded generation (with citations/attribution where applicable).
- Implement Agentic RAG patterns (query planning, multi-hop retrieval, tool-based lookups, reranking, guardrails, and fallback behaviors) for complex user questions.
- Develop LLM-based NLP capabilities for classification, extraction, summarization, semantic search, and conversational flows tailored to financial domain needs.
- Perform data preparation and quality work: cleaning noisy text, de-duplication, normalization, metadata enrichment, labeling, and maintaining curated datasets for evaluation/training.
- Run applied data science experiments to improve relevance and answer quality: A/B tests, prompt/retrieval experiments, embedding model comparisons, chunking strategy tests, and reranker evaluations.
- Define and track quality metrics across retrieval and generation (e.g., recall@k, MRR, precision, groundedness, citation coverage, user satisfaction proxies) and create lightweight dashboards/regular reporting.
- Build basic analytics pipelines around usage and quality signals (feedback, clicks, escalation rates, latency/cost) to guide iteration.
- Implement testing and evaluation harnesses: golden question sets, automated regression tests, adversarial prompts, and safety checks to reduce hallucinations.
- Collaborate with product/design/stakeholders to translate requirements into shipped features and iterate quickly based on feedback.
- Ensure solutions follow security, privacy, and responsible AI requirements (safe handling of sensitive data, access control-aware retrieval, logging/audit needs).
- 3+ years experience in software engineering, applied ML, data science engineering, or a related role building production systems.
- Strong programming in Python , with APIs and services.
- Working knowledge of applied data science fundamentals: data cleaning, exploratory data analysis (EDA), basic statistics, evaluation design, and communicating results.
- Experience with RAG development using frameworks such as LangChain/LlamaIndex (or equivalent),
- Comfortable with SQL and data tooling (e.g., pandas / Spark basics) to prepare datasets and run analyses.
- Experience with cloud (AWS or Azure) and standard SDLC practices (version control, CI/CD basics, testing).
- Exposure to vector databases/search (e.g., OpenSearch/Elastic, Pinecone, Weaviate, FAISS) and reranking approaches.
- Experience with evaluation frameworks (offline relevance labeling, LLM-as-judge with guardrails, regression suites) and basic experiment design.
- Familiarity with agent frameworks (LangGraph/Semantic Kernel/etc.) and Agentic RAG workflows.
- Experience with Python.
- Familiarity with embeddings and retrieval concepts.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
IndexingAgileapisdata preparationamazon web servicesclassificationFAISSNatural Language ProcessingKerneldata scientistdata cleaningmetadataEmbeddingsAnalyticsOpensearchLarge Language Models (LLMs)Exploratory Data AnalysisEvent DrivencloudPandasMicrosoft AzureLangchainData ScienceArtificial IntelligenceMachine Learning
Section · Company
About JPMorgan Chase & Co.
JP Morgan Chase
Financial Services
55k+
employees
1968
58 years old
Mumbai, Maharashtra
United States
₹21.9L PA avg
Avg at JPMorgan Chase & Co.
About
J.P Morgan is a global leader in financial services offering solutions to the world's most important corporations, governments and institutions.
Industries
Financial Services
Employee ratings
10 reviews
3.9/ 5
Culture
2.6
Career growth
1.8
Work-life
3.0
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