JPMorgan Data Scientist Lead 

India 

384034994

Job Responsibilities:

• Build and train production grade ML models on large-scale datasets to solve business use cases
• Use large scale data processing frameworks to manipulate and extract value from both structured and un-structured data.
• Use Deep Learning models like NLP, LLM and Gen AI for solving various business use cases involving summarization, forecasting and anomaly detection.
• Perform data modeling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.
• Create data models using best practices to ensure high data quality and reduced redundancy
• Stay current on industry trends and identify opportunities to adopt the latest methodologies into existing implementations
• Present and market proposed solutions to Sr. Business and Technology colleagues
• Work closely with the business users to identify and execute machine learning opportunities.
• Work closely with the Team and the other technology partners on ML Ops aspects.
• Manage a global team of Data scientists and Data engineers.

Required qualifications, capabilities, and skills:

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Bachelor’s Degree or equivalent experience in Computer Science, Data Science
• 12+ years of experience as a data scientist
• Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP)
• Experience with LLM and Gen AI.
• Experience with Agentic workflows.
• Experience with ML languages such as Python, SQL, Scala
• Experience with statistical techniques - i.e. data mining, data transformations, text mining, data visualization
• Outstanding written/verbal communication and presentation skills
• Comfort with ambiguity and proven ability to structure problems
• Team oriented collaborator

Preferred qualifications, capabilities, and skills:

• Familiar with Financial Services
• Building ML models in a cloud environment
• Experience with Big Data Platforms such as Hadoop