Data Science and Gen AI Developer -Associate
Actively Reviewing the Applicationshackajob
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 9 hours ago
•
Apply by June 9, 2026
Job Description
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Job Description
You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team.
As a Data Science and Gen-AI developer – Associate within our Transformation and Analytics team, you will be responsible for defining, refining, and delivering set goals for our firm. You will implement exploratory data analysis techniques to identify trends and patterns, and pinpoint key data sources that can impact business outcomes. Your role involves scoping, prioritizing, and coordinating activities with product owners, while partnering with product teams to identify strategic solutions. You will design and develop data mining queries from large structured and unstructured data sets, converting data into actionable information. Your expertise in visualization and storytelling will be crucial in making impactful business decisions. You will employ scalable automation solutions for efficient data preparation and transform model outputs into formats that are understandable to end users. Additionally, you will assist both technical and non-technical end users in leveraging and interpreting the analysis effectively.
Job Responsibilities
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Job Description
You are a strategic thinker passionate about driving solutions in Data Science and LLM developer. You have found the right team.
As a Data Science and Gen-AI developer – Associate within our Transformation and Analytics team, you will be responsible for defining, refining, and delivering set goals for our firm. You will implement exploratory data analysis techniques to identify trends and patterns, and pinpoint key data sources that can impact business outcomes. Your role involves scoping, prioritizing, and coordinating activities with product owners, while partnering with product teams to identify strategic solutions. You will design and develop data mining queries from large structured and unstructured data sets, converting data into actionable information. Your expertise in visualization and storytelling will be crucial in making impactful business decisions. You will employ scalable automation solutions for efficient data preparation and transform model outputs into formats that are understandable to end users. Additionally, you will assist both technical and non-technical end users in leveraging and interpreting the analysis effectively.
Job Responsibilities
- Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
- Identify key data sources that can make business impacts.
- Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
- Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Convert data into information.
- Excel in Visualization and storytelling which can make an impact to the business .
- Employs scalable automation solutions for faster and robust data preparation
- Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
- Self-starter, attention to details and results orientated, able to work under minimal guidance.
- Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
- Having mandatory experience in Statistics along with Exploratory and regression data analysis
- Strong proficiency in LLM, concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based agents. Proficient in building evaluation metrics..
- Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and Claude models,
- Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning].
- Bachelor’s Degree in, Data science, Computer Science, or Engineering. Different field of study, with significant professional experience in Analytics and BI development, is acceptable.
- Experience Required: 5+ years in Data related projects and 3+ years in Data Science/AI
- Good communication and analytical skills
- Exposure for complex ETL development is an added advantage.
- Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
- Knowledge on CI/CD pipelines
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Required Skills
Communication
Machine Learning
Engineering
Data Analysis
Automation
Performance Tuning
Python
SQL
Snowflake
CI/CD Pipelines
Pandas
Storytelling
LangChain
Databricks
ETL
Data Science
CI/CD
React
Statistics
Analytics
RAG
Data analysis techniques
Regression
GPT
ETL Development
Model development
Vector
Database optimization
Data sources
Machine Learning techniques
Data preparation
Sets
PySpark
Development using
Exploratory Data Analysis
Attention to detailS
Computer Science
SciKit
LLM
Agentic AI
Evaluation Metrics
Querying
AutoGen
Claude
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