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Data Science and Gen AI Developer -Associate

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Data Science and Gen AI Developer -Associate

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 11 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Data Science and Gen-AI Developer – Associate within the Transformation and Analytics team will define, refine, and deliver goals, performing exploratory data analysis to identify trends and key data sources that impact business outcomes. The role involves scoping and coordinating with product owners, partnering with product teams to identify strategic solutions, and designing data mining queries from large structured and unstructured datasets. The candidate will create visualizations and compelling storytelling to inform decision-making, develop scalable automation for data preparation, and translate model outputs into end-user friendly formats, assisting both technical and non-technical users.

Location: Bengaluru, Karnataka, India

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.

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 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.
  • 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
Build your career in BI and Analytics while working in the world’s most innovative bank which values creativity and excellence.

Data Science and Gen AI Developer -Associate

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Data Science and Gen AI Developer -Associate

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 11 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Data Science and Gen-AI Developer – Associate within the Transformation and Analytics team will define, refine, and deliver goals, performing exploratory data analysis to identify trends and key data sources that impact business outcomes. The role involves scoping and coordinating with product owners, partnering with product teams to identify strategic solutions, and designing data mining queries from large structured and unstructured datasets. The candidate will create visualizations and compelling storytelling to inform decision-making, develop scalable automation for data preparation, and translate model outputs into end-user friendly formats, assisting both technical and non-technical users.

Location: Bengaluru, Karnataka, India

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.

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 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.
  • 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
Build your career in BI and Analytics while working in the world’s most innovative bank which values creativity and excellence.