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Data Science and Gen AI Developer - Vice President

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Industry not specified

Data Science and Gen AI Developer - Vice President

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 15 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
Not specified

This is a Vice President level role within the Transformation and Analytics team, focused on Data Science and Gen AI/LLM development. You will perform exploratory data analysis to uncover trends, identify critical data sources, and design data mining queries for large structured and unstructured datasets, turning raw data into actionable insights. You will collaborate with product teams to define scope and priorities, architect Gen AI and Agentic AI solutions, visualize data stories, and translate model outputs into user-friendly analytics for end users. The role emphasizes innovation through R&D initiatives and delivering strategic solutions for the firm.

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 LLM Developer – VP within our Transformation and Analytics team, you will define, refine, and deliver set goals for our firm. You will implement exploratory data analysis techniques to uncover trends and patterns, identifying critical data sources that promote business impact. Collaborating with product teams, you will define scope, set priorities, and coordinate activities to develop strategic solutions. You will design and build data mining queries for large structured and unstructured datasets, transforming raw data into actionable information. Your role involves demonstrating data visualization and storytelling, and architecting solutions using Gen AI and Agentic AI technologies. You will develop innovative solutions through research and development initiatives, translating 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.
  • Demonstrate 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

  • Experience Required: 10 + years in Data related projects and 3+ years in Data Science/AI
  • 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. 
  • 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. You are a strategic thinker passionate about driving solutions in  Data Science  and LLM developer. You have found the right team.
Build your career in Data Science while working in the world’s most innovative bank which values creativity and excellence.

Data Science and Gen AI Developer - Vice President

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Industry not specified

Data Science and Gen AI Developer - Vice President

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 15 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
Not specified

This is a Vice President level role within the Transformation and Analytics team, focused on Data Science and Gen AI/LLM development. You will perform exploratory data analysis to uncover trends, identify critical data sources, and design data mining queries for large structured and unstructured datasets, turning raw data into actionable insights. You will collaborate with product teams to define scope and priorities, architect Gen AI and Agentic AI solutions, visualize data stories, and translate model outputs into user-friendly analytics for end users. The role emphasizes innovation through R&D initiatives and delivering strategic solutions for the firm.

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 LLM Developer – VP within our Transformation and Analytics team, you will define, refine, and deliver set goals for our firm. You will implement exploratory data analysis techniques to uncover trends and patterns, identifying critical data sources that promote business impact. Collaborating with product teams, you will define scope, set priorities, and coordinate activities to develop strategic solutions. You will design and build data mining queries for large structured and unstructured datasets, transforming raw data into actionable information. Your role involves demonstrating data visualization and storytelling, and architecting solutions using Gen AI and Agentic AI technologies. You will develop innovative solutions through research and development initiatives, translating 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.
  • Demonstrate 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

  • Experience Required: 10 + years in Data related projects and 3+ years in Data Science/AI
  • 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. 
  • 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. You are a strategic thinker passionate about driving solutions in  Data Science  and LLM developer. You have found the right team.
Build your career in Data Science while working in the world’s most innovative bank which values creativity and excellence.

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