Data Science and AI developer
- JPMorgan Chase Bank
- 3 - 8 years
- Bengaluru
- 2 days ago
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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 Sr Associate in our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm.
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 data mining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
- Proficient 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.
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,
- 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 AI oriented 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
Preferred qualifications, capabilities and skills
- Exposure for complex ETL development is an added advantage.
- Knowledge on CI/CD pipelines.
- Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera s, Pandas, PySpark/PySQL)
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 Sr Associate in our Transformation and Analytics , you will spend each day defining, refining and delivering set goals for our firm.
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 data mining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
- Proficient 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.
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,
- 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 AI oriented 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
Preferred qualifications, capabilities and skills
- Exposure for complex ETL development is an added advantage.
- Knowledge on CI/CD pipelines.
- Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera s, Pandas, PySpark/PySQL)
Job Classification
Industry: Financial ServicesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: JPMorgan Chase BankLocation(s): Bengaluru+ View Contact
Keyskills: Analytical skills Computer science Performance tuning Data analysis Automation Machine learning Data mining Analytics SQL Python
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