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 LLM Developer within our Transformation and Analytics team, you will be responsible for defining, refining, and achieving set goals for our firm. You will implement various exploratory data analysis techniques to uncover trends and patterns, and identify critical data sources that promote business impact. Collaborating with product owners, you will define scope, set priorities, and coordinate activities to develop strategic solutions. Your role involves designing and building data mining queries for large structured and unstructured datasets, transforming raw data into actionable information. You will be skilled in data visualization and storytelling, and architect solutions leveraging Gen AI and Agentic AI technologies. Additionally, you will develop innovative solutions through research and development initiatives. Your expertise will translate model outputs into user-friendly insights and analytics for end users.

Job Responsibilities

• Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
• Apply a range of exploratory data analysis techniques to uncover trends and patterns.
• Identify critical data sources that drive business impact.
• Define scope, set priorities, and coordinate activities with product owners; collaborate with product teams to develop strategic solutions.
• Design and build data mining queries for large structured and unstructured datasets, with experience in transforming raw data into actionable information.
• Be skilled in data visualization and storytelling.
• Architect solutions leveraging Gen AI and Agentic AI technologies.
• Develop innovative solutions through research and development initiatives.
• Translate model outputs into user-friendly insights and analytics for end users.

Required qualifications, capabilities and skills

• 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.
• Experienced in Agentic AI patterns and deploying solutions into production environments.
• 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: 2+ years in Data related projects and 1+ years in Data Science/AI
• Good communication and analytical skills

Preferred qualifications, capabilities and skills

• Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)
• Exposure for complex ETL development is an added advantage.
• 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.